--- _id: '48269' author: - first_name: Tobias full_name: Gburrek, Tobias id: '44006' last_name: Gburrek - first_name: Joerg full_name: Schmalenstroeer, Joerg id: '460' last_name: Schmalenstroeer - first_name: Reinhold full_name: Haeb-Umbach, Reinhold id: '242' last_name: Haeb-Umbach citation: ama: 'Gburrek T, Schmalenstroeer J, Haeb-Umbach R. On the Integration of Sampling Rate Synchronization and Acoustic Beamforming. In: European Signal Processing Conference (EUSIPCO). ; 2023.' apa: Gburrek, T., Schmalenstroeer, J., & Haeb-Umbach, R. (2023). On the Integration of Sampling Rate Synchronization and Acoustic Beamforming. European Signal Processing Conference (EUSIPCO). European Signal Processing Conference (EUSIPCO), Helsinki. bibtex: '@inproceedings{Gburrek_Schmalenstroeer_Haeb-Umbach_2023, title={On the Integration of Sampling Rate Synchronization and Acoustic Beamforming}, booktitle={European Signal Processing Conference (EUSIPCO)}, author={Gburrek, Tobias and Schmalenstroeer, Joerg and Haeb-Umbach, Reinhold}, year={2023} }' chicago: Gburrek, Tobias, Joerg Schmalenstroeer, and Reinhold Haeb-Umbach. “On the Integration of Sampling Rate Synchronization and Acoustic Beamforming.” In European Signal Processing Conference (EUSIPCO), 2023. ieee: T. Gburrek, J. Schmalenstroeer, and R. Haeb-Umbach, “On the Integration of Sampling Rate Synchronization and Acoustic Beamforming,” presented at the European Signal Processing Conference (EUSIPCO), Helsinki, 2023. mla: Gburrek, Tobias, et al. “On the Integration of Sampling Rate Synchronization and Acoustic Beamforming.” European Signal Processing Conference (EUSIPCO), 2023. short: 'T. Gburrek, J. Schmalenstroeer, R. Haeb-Umbach, in: European Signal Processing Conference (EUSIPCO), 2023.' conference: location: Helsinki name: European Signal Processing Conference (EUSIPCO) date_created: 2023-10-18T12:54:08Z date_updated: 2023-10-26T08:16:23Z department: - _id: '54' language: - iso: eng main_file_link: - open_access: '1' url: https://eurasip.org/Proceedings/Eusipco/Eusipco2023/pdfs/0000011.pdf oa: '1' publication: European Signal Processing Conference (EUSIPCO) quality_controlled: '1' status: public title: On the Integration of Sampling Rate Synchronization and Acoustic Beamforming type: conference user_id: '460' year: '2023' ... --- _id: '48270' author: - first_name: Joerg full_name: Schmalenstroeer, Joerg id: '460' last_name: Schmalenstroeer - first_name: Tobias full_name: Gburrek, Tobias id: '44006' last_name: Gburrek - first_name: Reinhold full_name: Haeb-Umbach, Reinhold id: '242' last_name: Haeb-Umbach citation: ama: 'Schmalenstroeer J, Gburrek T, Haeb-Umbach R. LibriWASN: A Data Set for Meeting Separation, Diarization, and Recognition with Asynchronous Recording Devices. In: ITG Conference on Speech Communication. ; 2023.' apa: 'Schmalenstroeer, J., Gburrek, T., & Haeb-Umbach, R. (2023). LibriWASN: A Data Set for Meeting Separation, Diarization, and Recognition with Asynchronous Recording Devices. ITG Conference on Speech Communication. ITG Conference on Speech Communication, Aachen.' bibtex: '@inproceedings{Schmalenstroeer_Gburrek_Haeb-Umbach_2023, title={LibriWASN: A Data Set for Meeting Separation, Diarization, and Recognition with Asynchronous Recording Devices}, booktitle={ITG Conference on Speech Communication}, author={Schmalenstroeer, Joerg and Gburrek, Tobias and Haeb-Umbach, Reinhold}, year={2023} }' chicago: 'Schmalenstroeer, Joerg, Tobias Gburrek, and Reinhold Haeb-Umbach. “LibriWASN: A Data Set for Meeting Separation, Diarization, and Recognition with Asynchronous Recording Devices.” In ITG Conference on Speech Communication, 2023.' ieee: 'J. Schmalenstroeer, T. Gburrek, and R. Haeb-Umbach, “LibriWASN: A Data Set for Meeting Separation, Diarization, and Recognition with Asynchronous Recording Devices,” presented at the ITG Conference on Speech Communication, Aachen, 2023.' mla: 'Schmalenstroeer, Joerg, et al. “LibriWASN: A Data Set for Meeting Separation, Diarization, and Recognition with Asynchronous Recording Devices.” ITG Conference on Speech Communication, 2023.' short: 'J. Schmalenstroeer, T. Gburrek, R. Haeb-Umbach, in: ITG Conference on Speech Communication, 2023.' conference: location: Aachen name: ITG Conference on Speech Communication date_created: 2023-10-18T13:00:54Z date_updated: 2023-11-15T14:48:45Z ddc: - '004' department: - _id: '54' file: - access_level: open_access content_type: application/pdf creator: schmalen date_created: 2023-10-26T08:20:15Z date_updated: 2023-11-15T14:48:44Z file_id: '48483' file_name: SchTgbHaeb2023Final.pdf file_size: 2844502 relation: main_file file_date_updated: 2023-11-15T14:48:44Z has_accepted_license: '1' language: - iso: eng oa: '1' publication: ITG Conference on Speech Communication quality_controlled: '1' status: public title: 'LibriWASN: A Data Set for Meeting Separation, Diarization, and Recognition with Asynchronous Recording Devices' type: conference user_id: '460' year: '2023' ... --- _id: '49109' abstract: - lang: eng text: "We propose a diarization system, that estimates “who spoke when” based on spatial information, to be used as a front-end of a meeting transcription system running on the signals gathered from an acoustic sensor network (ASN). Although the\r\nspatial distribution of the microphones is advantageous, exploiting the spatial diversity for diarization and signal enhancement is challenging, because the microphones’ positions are typically unknown, and the recorded signals are initially unsynchronized in general. Here, we approach these issues by first blindly synchronizing the signals and then estimating time differences of arrival (TDOAs). The TDOA information is exploited to estimate the speakers’ activity, even in the presence of multiple speakers being simultaneously active. This speaker activity information serves as a guide for a spatial mixture model, on which basis the individual speaker’s signals are extracted via beamforming. Finally, the extracted signals are forwarded to a speech recognizer. Additionally, a novel initialization scheme for spatial mixture models based on the TDOA estimates is proposed. Experiments conducted on real recordings from the LibriWASN data set have shown that our proposed system is advantageous compared to a system using a spatial mixture model, which does not make use\r\nof external diarization information." author: - first_name: Tobias full_name: Gburrek, Tobias id: '44006' last_name: Gburrek - first_name: Joerg full_name: Schmalenstroeer, Joerg id: '460' last_name: Schmalenstroeer - first_name: Reinhold full_name: Haeb-Umbach, Reinhold id: '242' last_name: Haeb-Umbach citation: ama: 'Gburrek T, Schmalenstroeer J, Haeb-Umbach R. Spatial Diarization for Meeting Transcription with Ad-Hoc Acoustic Sensor Networks. In: Proc. Asilomar Conference on Signals, Systems, and Computers. ; 2023.' apa: Gburrek, T., Schmalenstroeer, J., & Haeb-Umbach, R. (2023). Spatial Diarization for Meeting Transcription with Ad-Hoc Acoustic Sensor Networks. Proc. Asilomar Conference on Signals, Systems, and Computers. 57th Asilomar Conference on Signals, Systems, and Computers. bibtex: '@inproceedings{Gburrek_Schmalenstroeer_Haeb-Umbach_2023, title={Spatial Diarization for Meeting Transcription with Ad-Hoc Acoustic Sensor Networks}, booktitle={Proc. Asilomar Conference on Signals, Systems, and Computers}, author={Gburrek, Tobias and Schmalenstroeer, Joerg and Haeb-Umbach, Reinhold}, year={2023} }' chicago: Gburrek, Tobias, Joerg Schmalenstroeer, and Reinhold Haeb-Umbach. “Spatial Diarization for Meeting Transcription with Ad-Hoc Acoustic Sensor Networks.” In Proc. Asilomar Conference on Signals, Systems, and Computers, 2023. ieee: T. Gburrek, J. Schmalenstroeer, and R. Haeb-Umbach, “Spatial Diarization for Meeting Transcription with Ad-Hoc Acoustic Sensor Networks,” presented at the 57th Asilomar Conference on Signals, Systems, and Computers, 2023. mla: Gburrek, Tobias, et al. “Spatial Diarization for Meeting Transcription with Ad-Hoc Acoustic Sensor Networks.” Proc. Asilomar Conference on Signals, Systems, and Computers, 2023. short: 'T. Gburrek, J. Schmalenstroeer, R. Haeb-Umbach, in: Proc. Asilomar Conference on Signals, Systems, and Computers, 2023.' conference: end_date: 2023-11-01 name: 57th Asilomar Conference on Signals, Systems, and Computers start_date: 2023-10-31 date_created: 2023-11-22T07:52:29Z date_updated: 2023-11-22T07:58:49Z ddc: - '004' department: - _id: '54' file: - access_level: open_access content_type: application/pdf creator: schmalen date_created: 2023-11-22T07:51:18Z date_updated: 2023-11-22T07:58:49Z file_id: '49110' file_name: asilomar.pdf file_size: 212317 relation: main_file file_date_updated: 2023-11-22T07:58:49Z has_accepted_license: '1' keyword: - Diarization - time difference of arrival - ad-hoc acoustic sensor network - meeting transcription language: - iso: eng oa: '1' publication: Proc. Asilomar Conference on Signals, Systems, and Computers quality_controlled: '1' status: public title: Spatial Diarization for Meeting Transcription with Ad-Hoc Acoustic Sensor Networks type: conference user_id: '460' year: '2023' ... --- _id: '33471' abstract: - lang: eng text: "The intelligibility of demodulated audio signals from analog high frequency transmissions, e.g., using single-sideband\r\n(SSB) modulation, can be severely degraded by channel distortions and/or a mismatch between modulation and demodulation carrier frequency. In this work a neural network (NN)-based approach for carrier frequency offset (CFO) estimation from demodulated SSB signals is proposed, whereby a task specific architecture is presented. Additionally, a simulation framework for SSB signals is introduced and utilized for training the NNs. The CFO estimator is combined with a speech enhancement network to investigate its influence on the enhancement performance. The NN-based system is compared to a recently proposed pitch tracking based approach on publicly available data from real high frequency transmissions. Experiments show that the NN exhibits good CFO estimation properties and results in significant improvements in speech intelligibility, especially when combined with a noise reduction network." author: - first_name: Jens full_name: Heitkämper, Jens id: '27643' last_name: Heitkämper - first_name: Joerg full_name: Schmalenstroeer, Joerg id: '460' last_name: Schmalenstroeer - first_name: Reinhold full_name: Haeb-Umbach, Reinhold id: '242' last_name: Haeb-Umbach citation: ama: 'Heitkämper J, Schmalenstroeer J, Haeb-Umbach R. Neural Network Based Carrier Frequency Offset Estimation From Speech Transmitted Over High Frequency Channels. In: Proceedings of the 30th European Signal Processing Conference (EUSIPCO).' apa: Heitkämper, J., Schmalenstroeer, J., & Haeb-Umbach, R. (n.d.). Neural Network Based Carrier Frequency Offset Estimation From Speech Transmitted Over High Frequency Channels. Proceedings of the 30th European Signal Processing Conference (EUSIPCO). 30th European Signal Processing Conference (EUSIPCO), Belgrad. bibtex: '@inproceedings{Heitkämper_Schmalenstroeer_Haeb-Umbach, place={Belgrad}, title={Neural Network Based Carrier Frequency Offset Estimation From Speech Transmitted Over High Frequency Channels}, booktitle={Proceedings of the 30th European Signal Processing Conference (EUSIPCO)}, author={Heitkämper, Jens and Schmalenstroeer, Joerg and Haeb-Umbach, Reinhold} }' chicago: Heitkämper, Jens, Joerg Schmalenstroeer, and Reinhold Haeb-Umbach. “Neural Network Based Carrier Frequency Offset Estimation From Speech Transmitted Over High Frequency Channels.” In Proceedings of the 30th European Signal Processing Conference (EUSIPCO). Belgrad, n.d. ieee: J. Heitkämper, J. Schmalenstroeer, and R. Haeb-Umbach, “Neural Network Based Carrier Frequency Offset Estimation From Speech Transmitted Over High Frequency Channels,” presented at the 30th European Signal Processing Conference (EUSIPCO), Belgrad. mla: Heitkämper, Jens, et al. “Neural Network Based Carrier Frequency Offset Estimation From Speech Transmitted Over High Frequency Channels.” Proceedings of the 30th European Signal Processing Conference (EUSIPCO). short: 'J. Heitkämper, J. Schmalenstroeer, R. Haeb-Umbach, in: Proceedings of the 30th European Signal Processing Conference (EUSIPCO), Belgrad, n.d.' conference: end_date: 2022-09-02 location: Belgrad name: 30th European Signal Processing Conference (EUSIPCO) start_date: 2022-08-29 date_created: 2022-09-22T10:56:13Z date_updated: 2023-10-26T08:15:57Z ddc: - '000' department: - _id: '54' file: - access_level: closed content_type: application/pdf creator: jensheit date_created: 2022-09-22T10:48:31Z date_updated: 2022-09-22T10:48:31Z file_id: '33472' file_name: cfo.pdf file_size: 1231379 relation: main_file success: 1 file_date_updated: 2022-09-22T10:48:31Z has_accepted_license: '1' language: - iso: eng place: Belgrad project: - _id: '52' name: 'PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing' publication: Proceedings of the 30th European Signal Processing Conference (EUSIPCO) publication_status: accepted quality_controlled: '1' status: public title: Neural Network Based Carrier Frequency Offset Estimation From Speech Transmitted Over High Frequency Channels type: conference user_id: '460' year: '2022' ... --- _id: '33806' author: - first_name: Haitham full_name: Afifi, Haitham last_name: Afifi - first_name: Holger full_name: Karl, Holger last_name: Karl - first_name: Tobias full_name: Gburrek, Tobias id: '44006' last_name: Gburrek - first_name: Joerg full_name: Schmalenstroeer, Joerg id: '460' last_name: Schmalenstroeer citation: ama: 'Afifi H, Karl H, Gburrek T, Schmalenstroeer J. Data-driven Time Synchronization in Wireless Multimedia Networks. In: 2022 International Wireless Communications and Mobile Computing (IWCMC). IEEE; 2022. doi:10.1109/iwcmc55113.2022.9824980' apa: Afifi, H., Karl, H., Gburrek, T., & Schmalenstroeer, J. (2022). Data-driven Time Synchronization in Wireless Multimedia Networks. 2022 International Wireless Communications and Mobile Computing (IWCMC). https://doi.org/10.1109/iwcmc55113.2022.9824980 bibtex: '@inproceedings{Afifi_Karl_Gburrek_Schmalenstroeer_2022, title={Data-driven Time Synchronization in Wireless Multimedia Networks}, DOI={10.1109/iwcmc55113.2022.9824980}, booktitle={2022 International Wireless Communications and Mobile Computing (IWCMC)}, publisher={IEEE}, author={Afifi, Haitham and Karl, Holger and Gburrek, Tobias and Schmalenstroeer, Joerg}, year={2022} }' chicago: Afifi, Haitham, Holger Karl, Tobias Gburrek, and Joerg Schmalenstroeer. “Data-Driven Time Synchronization in Wireless Multimedia Networks.” In 2022 International Wireless Communications and Mobile Computing (IWCMC). IEEE, 2022. https://doi.org/10.1109/iwcmc55113.2022.9824980. ieee: 'H. Afifi, H. Karl, T. Gburrek, and J. Schmalenstroeer, “Data-driven Time Synchronization in Wireless Multimedia Networks,” 2022, doi: 10.1109/iwcmc55113.2022.9824980.' mla: Afifi, Haitham, et al. “Data-Driven Time Synchronization in Wireless Multimedia Networks.” 2022 International Wireless Communications and Mobile Computing (IWCMC), IEEE, 2022, doi:10.1109/iwcmc55113.2022.9824980. short: 'H. Afifi, H. Karl, T. Gburrek, J. Schmalenstroeer, in: 2022 International Wireless Communications and Mobile Computing (IWCMC), IEEE, 2022.' date_created: 2022-10-18T09:24:17Z date_updated: 2023-10-26T08:16:07Z department: - _id: '54' doi: 10.1109/iwcmc55113.2022.9824980 language: - iso: eng publication: 2022 International Wireless Communications and Mobile Computing (IWCMC) publication_status: published publisher: IEEE quality_controlled: '1' status: public title: Data-driven Time Synchronization in Wireless Multimedia Networks type: conference user_id: '460' year: '2022' ... --- _id: '33807' author: - first_name: Tobias full_name: Gburrek, Tobias id: '44006' last_name: Gburrek - first_name: Joerg full_name: Schmalenstroeer, Joerg id: '460' last_name: Schmalenstroeer - first_name: Reinhold full_name: Haeb-Umbach, Reinhold id: '242' last_name: Haeb-Umbach citation: ama: 'Gburrek T, Schmalenstroeer J, Haeb-Umbach R. On Synchronization of Wireless Acoustic Sensor Networks in the Presence of Time-Varying Sampling Rate Offsets and Speaker Changes. In: ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE; 2022. doi:10.1109/icassp43922.2022.9746284' apa: Gburrek, T., Schmalenstroeer, J., & Haeb-Umbach, R. (2022). On Synchronization of Wireless Acoustic Sensor Networks in the Presence of Time-Varying Sampling Rate Offsets and Speaker Changes. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). https://doi.org/10.1109/icassp43922.2022.9746284 bibtex: '@inproceedings{Gburrek_Schmalenstroeer_Haeb-Umbach_2022, title={On Synchronization of Wireless Acoustic Sensor Networks in the Presence of Time-Varying Sampling Rate Offsets and Speaker Changes}, DOI={10.1109/icassp43922.2022.9746284}, booktitle={ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, publisher={IEEE}, author={Gburrek, Tobias and Schmalenstroeer, Joerg and Haeb-Umbach, Reinhold}, year={2022} }' chicago: Gburrek, Tobias, Joerg Schmalenstroeer, and Reinhold Haeb-Umbach. “On Synchronization of Wireless Acoustic Sensor Networks in the Presence of Time-Varying Sampling Rate Offsets and Speaker Changes.” In ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2022. https://doi.org/10.1109/icassp43922.2022.9746284. ieee: 'T. Gburrek, J. Schmalenstroeer, and R. Haeb-Umbach, “On Synchronization of Wireless Acoustic Sensor Networks in the Presence of Time-Varying Sampling Rate Offsets and Speaker Changes,” 2022, doi: 10.1109/icassp43922.2022.9746284.' mla: Gburrek, Tobias, et al. “On Synchronization of Wireless Acoustic Sensor Networks in the Presence of Time-Varying Sampling Rate Offsets and Speaker Changes.” ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE, 2022, doi:10.1109/icassp43922.2022.9746284. short: 'T. Gburrek, J. Schmalenstroeer, R. Haeb-Umbach, in: ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE, 2022.' date_created: 2022-10-18T09:25:51Z date_updated: 2023-11-17T06:39:28Z ddc: - '004' department: - _id: '54' doi: 10.1109/icassp43922.2022.9746284 file: - access_level: open_access content_type: application/pdf creator: tgburrek date_created: 2023-11-17T06:39:04Z date_updated: 2023-11-17T06:39:04Z file_id: '48990' file_name: gburrek_icassp22.pdf file_size: 358015 relation: main_file file_date_updated: 2023-11-17T06:39:04Z has_accepted_license: '1' language: - iso: eng oa: '1' publication: ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) publication_status: published publisher: IEEE quality_controlled: '1' status: public title: On Synchronization of Wireless Acoustic Sensor Networks in the Presence of Time-Varying Sampling Rate Offsets and Speaker Changes type: conference user_id: '44006' year: '2022' ... --- _id: '33808' author: - first_name: Tobias full_name: Gburrek, Tobias id: '44006' last_name: Gburrek - first_name: Joerg full_name: Schmalenstroeer, Joerg id: '460' last_name: Schmalenstroeer - first_name: Jens full_name: Heitkaemper, Jens id: '27643' last_name: Heitkaemper - first_name: Reinhold full_name: Haeb-Umbach, Reinhold id: '242' last_name: Haeb-Umbach citation: ama: 'Gburrek T, Schmalenstroeer J, Heitkaemper J, Haeb-Umbach R. Informed vs. Blind Beamforming in Ad-Hoc Acoustic Sensor Networks for Meeting Transcription. In: 2022 International Workshop on Acoustic Signal Enhancement (IWAENC). IEEE; 2022. doi:10.1109/IWAENC53105.2022.9914772' apa: Gburrek, T., Schmalenstroeer, J., Heitkaemper, J., & Haeb-Umbach, R. (2022). Informed vs. Blind Beamforming in Ad-Hoc Acoustic Sensor Networks for Meeting Transcription. 2022 International Workshop on Acoustic Signal Enhancement (IWAENC). 17th International Workshop on Acoustic Signal Enhancement (IWAENC 2022), Bamberg, Germany . https://doi.org/10.1109/IWAENC53105.2022.9914772 bibtex: '@inproceedings{Gburrek_Schmalenstroeer_Heitkaemper_Haeb-Umbach_2022, title={Informed vs. Blind Beamforming in Ad-Hoc Acoustic Sensor Networks for Meeting Transcription}, DOI={10.1109/IWAENC53105.2022.9914772}, booktitle={2022 International Workshop on Acoustic Signal Enhancement (IWAENC)}, publisher={IEEE}, author={Gburrek, Tobias and Schmalenstroeer, Joerg and Heitkaemper, Jens and Haeb-Umbach, Reinhold}, year={2022} }' chicago: Gburrek, Tobias, Joerg Schmalenstroeer, Jens Heitkaemper, and Reinhold Haeb-Umbach. “Informed vs. Blind Beamforming in Ad-Hoc Acoustic Sensor Networks for Meeting Transcription.” In 2022 International Workshop on Acoustic Signal Enhancement (IWAENC). IEEE, 2022. https://doi.org/10.1109/IWAENC53105.2022.9914772. ieee: 'T. Gburrek, J. Schmalenstroeer, J. Heitkaemper, and R. Haeb-Umbach, “Informed vs. Blind Beamforming in Ad-Hoc Acoustic Sensor Networks for Meeting Transcription,” presented at the 17th International Workshop on Acoustic Signal Enhancement (IWAENC 2022), Bamberg, Germany , 2022, doi: 10.1109/IWAENC53105.2022.9914772.' mla: Gburrek, Tobias, et al. “Informed vs. Blind Beamforming in Ad-Hoc Acoustic Sensor Networks for Meeting Transcription.” 2022 International Workshop on Acoustic Signal Enhancement (IWAENC), IEEE, 2022, doi:10.1109/IWAENC53105.2022.9914772. short: 'T. Gburrek, J. Schmalenstroeer, J. Heitkaemper, R. Haeb-Umbach, in: 2022 International Workshop on Acoustic Signal Enhancement (IWAENC), IEEE, 2022.' conference: end_date: 2022-09-08 location: ' Bamberg, Germany ' name: 17th International Workshop on Acoustic Signal Enhancement (IWAENC 2022) start_date: 2022-09-05 date_created: 2022-10-18T09:30:24Z date_updated: 2023-11-17T06:40:58Z ddc: - '004' department: - _id: '54' doi: 10.1109/IWAENC53105.2022.9914772 file: - access_level: open_access content_type: application/pdf creator: tgburrek date_created: 2023-11-17T06:40:40Z date_updated: 2023-11-17T06:40:40Z file_id: '48991' file_name: iwaenc_22_camera_ready_ieee_check.pdf file_size: 266475 relation: main_file file_date_updated: 2023-11-17T06:40:40Z has_accepted_license: '1' language: - iso: eng oa: '1' project: - _id: '52' name: 'PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing' publication: 2022 International Workshop on Acoustic Signal Enhancement (IWAENC) publisher: IEEE quality_controlled: '1' status: public title: Informed vs. Blind Beamforming in Ad-Hoc Acoustic Sensor Networks for Meeting Transcription type: conference user_id: '44006' year: '2022' ... --- _id: '33816' author: - first_name: Tobias full_name: Gburrek, Tobias id: '44006' last_name: Gburrek - first_name: Christoph full_name: Boeddeker, Christoph id: '40767' last_name: Boeddeker - first_name: Thilo full_name: von Neumann, Thilo id: '49870' last_name: von Neumann orcid: https://orcid.org/0000-0002-7717-8670 - first_name: Tobias full_name: Cord-Landwehr, Tobias id: '44393' last_name: Cord-Landwehr - first_name: Joerg full_name: Schmalenstroeer, Joerg id: '460' last_name: Schmalenstroeer - first_name: Reinhold full_name: Haeb-Umbach, Reinhold id: '242' last_name: Haeb-Umbach citation: ama: Gburrek T, Boeddeker C, von Neumann T, Cord-Landwehr T, Schmalenstroeer J, Haeb-Umbach R. A Meeting Transcription System for an Ad-Hoc Acoustic Sensor Network. arXiv; 2022. doi:10.48550/ARXIV.2205.00944 apa: Gburrek, T., Boeddeker, C., von Neumann, T., Cord-Landwehr, T., Schmalenstroeer, J., & Haeb-Umbach, R. (2022). A Meeting Transcription System for an Ad-Hoc Acoustic Sensor Network. arXiv. https://doi.org/10.48550/ARXIV.2205.00944 bibtex: '@book{Gburrek_Boeddeker_von Neumann_Cord-Landwehr_Schmalenstroeer_Haeb-Umbach_2022, title={A Meeting Transcription System for an Ad-Hoc Acoustic Sensor Network}, DOI={10.48550/ARXIV.2205.00944}, publisher={arXiv}, author={Gburrek, Tobias and Boeddeker, Christoph and von Neumann, Thilo and Cord-Landwehr, Tobias and Schmalenstroeer, Joerg and Haeb-Umbach, Reinhold}, year={2022} }' chicago: Gburrek, Tobias, Christoph Boeddeker, Thilo von Neumann, Tobias Cord-Landwehr, Joerg Schmalenstroeer, and Reinhold Haeb-Umbach. A Meeting Transcription System for an Ad-Hoc Acoustic Sensor Network. arXiv, 2022. https://doi.org/10.48550/ARXIV.2205.00944. ieee: T. Gburrek, C. Boeddeker, T. von Neumann, T. Cord-Landwehr, J. Schmalenstroeer, and R. Haeb-Umbach, A Meeting Transcription System for an Ad-Hoc Acoustic Sensor Network. arXiv, 2022. mla: Gburrek, Tobias, et al. A Meeting Transcription System for an Ad-Hoc Acoustic Sensor Network. arXiv, 2022, doi:10.48550/ARXIV.2205.00944. short: T. Gburrek, C. Boeddeker, T. von Neumann, T. Cord-Landwehr, J. Schmalenstroeer, R. Haeb-Umbach, A Meeting Transcription System for an Ad-Hoc Acoustic Sensor Network, arXiv, 2022. date_created: 2022-10-18T11:10:58Z date_updated: 2023-11-17T06:42:16Z ddc: - '004' department: - _id: '54' doi: 10.48550/ARXIV.2205.00944 file: - access_level: open_access content_type: application/pdf creator: tgburrek date_created: 2023-11-17T06:42:04Z date_updated: 2023-11-17T06:42:04Z file_id: '48992' file_name: meeting_transcription_22.pdf file_size: 199006 relation: main_file file_date_updated: 2023-11-17T06:42:04Z has_accepted_license: '1' language: - iso: eng oa: '1' project: - _id: '52' name: 'PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing' publisher: arXiv status: public title: A Meeting Transcription System for an Ad-Hoc Acoustic Sensor Network type: misc user_id: '44006' year: '2022' ... --- _id: '24000' author: - first_name: Jens full_name: Heitkaemper, Jens id: '27643' last_name: Heitkaemper - first_name: Joerg full_name: Schmalenstroeer, Joerg id: '460' last_name: Schmalenstroeer - first_name: Valentin full_name: Ion, Valentin last_name: Ion - first_name: Reinhold full_name: Haeb-Umbach, Reinhold id: '242' last_name: Haeb-Umbach citation: ama: 'Heitkaemper J, Schmalenstroeer J, Ion V, Haeb-Umbach R. A Database for Research on Detection and Enhancement of Speech Transmitted over HF links. In: Speech Communication; 14th ITG-Symposium. ; 2021:1-5.' apa: Heitkaemper, J., Schmalenstroeer, J., Ion, V., & Haeb-Umbach, R. (2021). A Database for Research on Detection and Enhancement of Speech Transmitted over HF links. Speech Communication; 14th ITG-Symposium, 1–5. bibtex: '@inproceedings{Heitkaemper_Schmalenstroeer_Ion_Haeb-Umbach_2021, title={A Database for Research on Detection and Enhancement of Speech Transmitted over HF links}, booktitle={Speech Communication; 14th ITG-Symposium}, author={Heitkaemper, Jens and Schmalenstroeer, Joerg and Ion, Valentin and Haeb-Umbach, Reinhold}, year={2021}, pages={1–5} }' chicago: Heitkaemper, Jens, Joerg Schmalenstroeer, Valentin Ion, and Reinhold Haeb-Umbach. “A Database for Research on Detection and Enhancement of Speech Transmitted over HF Links.” In Speech Communication; 14th ITG-Symposium, 1–5, 2021. ieee: J. Heitkaemper, J. Schmalenstroeer, V. Ion, and R. Haeb-Umbach, “A Database for Research on Detection and Enhancement of Speech Transmitted over HF links,” in Speech Communication; 14th ITG-Symposium, 2021, pp. 1–5. mla: Heitkaemper, Jens, et al. “A Database for Research on Detection and Enhancement of Speech Transmitted over HF Links.” Speech Communication; 14th ITG-Symposium, 2021, pp. 1–5. short: 'J. Heitkaemper, J. Schmalenstroeer, V. Ion, R. Haeb-Umbach, in: Speech Communication; 14th ITG-Symposium, 2021, pp. 1–5.' date_created: 2021-09-09T08:41:25Z date_updated: 2023-10-26T08:06:57Z department: - _id: '54' language: - iso: eng page: 1-5 project: - _id: '52' name: 'PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing' publication: Speech Communication; 14th ITG-Symposium quality_controlled: '1' status: public title: A Database for Research on Detection and Enhancement of Speech Transmitted over HF links type: conference user_id: '460' year: '2021' ... --- _id: '23998' author: - first_name: Joerg full_name: Schmalenstroeer, Joerg id: '460' last_name: Schmalenstroeer - first_name: Jens full_name: Heitkaemper, Jens id: '27643' last_name: Heitkaemper - first_name: Joerg full_name: Ullmann, Joerg id: '16256' last_name: Ullmann - first_name: Reinhold full_name: Haeb-Umbach, Reinhold id: '242' last_name: Haeb-Umbach citation: ama: 'Schmalenstroeer J, Heitkaemper J, Ullmann J, Haeb-Umbach R. Open Range Pitch Tracking for Carrier Frequency Difference Estimation from HF Transmitted Speech. In: 29th European Signal Processing Conference (EUSIPCO). ; 2021:1-5.' apa: Schmalenstroeer, J., Heitkaemper, J., Ullmann, J., & Haeb-Umbach, R. (2021). Open Range Pitch Tracking for Carrier Frequency Difference Estimation from HF Transmitted Speech. 29th European Signal Processing Conference (EUSIPCO), 1–5. bibtex: '@inproceedings{Schmalenstroeer_Heitkaemper_Ullmann_Haeb-Umbach_2021, title={Open Range Pitch Tracking for Carrier Frequency Difference Estimation from HF Transmitted Speech}, booktitle={29th European Signal Processing Conference (EUSIPCO)}, author={Schmalenstroeer, Joerg and Heitkaemper, Jens and Ullmann, Joerg and Haeb-Umbach, Reinhold}, year={2021}, pages={1–5} }' chicago: Schmalenstroeer, Joerg, Jens Heitkaemper, Joerg Ullmann, and Reinhold Haeb-Umbach. “Open Range Pitch Tracking for Carrier Frequency Difference Estimation from HF Transmitted Speech.” In 29th European Signal Processing Conference (EUSIPCO), 1–5, 2021. ieee: J. Schmalenstroeer, J. Heitkaemper, J. Ullmann, and R. Haeb-Umbach, “Open Range Pitch Tracking for Carrier Frequency Difference Estimation from HF Transmitted Speech,” in 29th European Signal Processing Conference (EUSIPCO), 2021, pp. 1–5. mla: Schmalenstroeer, Joerg, et al. “Open Range Pitch Tracking for Carrier Frequency Difference Estimation from HF Transmitted Speech.” 29th European Signal Processing Conference (EUSIPCO), 2021, pp. 1–5. short: 'J. Schmalenstroeer, J. Heitkaemper, J. Ullmann, R. Haeb-Umbach, in: 29th European Signal Processing Conference (EUSIPCO), 2021, pp. 1–5.' date_created: 2021-09-09T08:40:04Z date_updated: 2023-11-15T14:56:38Z department: - _id: '54' extern: '1' language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.48550/arXiv.2103.01599 oa: '1' page: 1-5 publication: 29th European Signal Processing Conference (EUSIPCO) status: public title: Open Range Pitch Tracking for Carrier Frequency Difference Estimation from HF Transmitted Speech type: conference user_id: '460' year: '2021' ... --- _id: '22528' abstract: - lang: eng text: Due to the ad hoc nature of wireless acoustic sensor networks, the position of the sensor nodes is typically unknown. This contribution proposes a technique to estimate the position and orientation of the sensor nodes from the recorded speech signals. The method assumes that a node comprises a microphone array with synchronously sampled microphones rather than a single microphone, but does not require the sampling clocks of the nodes to be synchronized. From the observed audio signals, the distances between the acoustic sources and arrays, as well as the directions of arrival, are estimated. They serve as input to a non-linear least squares problem, from which both the sensor nodes’ positions and orientations, as well as the source positions, are alternatingly estimated in an iterative process. Given one set of unknowns, i.e., either the source positions or the sensor nodes’ geometry, the other set of unknowns can be computed in closed-form. The proposed approach is computationally efficient and the first one, which employs both distance and directional information for geometry calibration in a common cost function. Since both distance and direction of arrival measurements suffer from outliers, e.g., caused by strong reflections of the sound waves on the surfaces of the room, we introduce measures to deemphasize or remove unreliable measurements. Additionally, we discuss modifications of our previously proposed deep neural network-based acoustic distance estimator, to account not only for omnidirectional sources but also for directional sources. Simulation results show good positioning accuracy and compare very favorably with alternative approaches from the literature. author: - first_name: Tobias full_name: Gburrek, Tobias id: '44006' last_name: Gburrek - first_name: Joerg full_name: Schmalenstroeer, Joerg id: '460' last_name: Schmalenstroeer - first_name: Reinhold full_name: Haeb-Umbach, Reinhold id: '242' last_name: Haeb-Umbach citation: ama: Gburrek T, Schmalenstroeer J, Haeb-Umbach R. Geometry calibration in wireless acoustic sensor networks utilizing DoA and distance information. EURASIP Journal on Audio, Speech, and Music Processing. Published online 2021. doi:10.1186/s13636-021-00210-x apa: Gburrek, T., Schmalenstroeer, J., & Haeb-Umbach, R. (2021). Geometry calibration in wireless acoustic sensor networks utilizing DoA and distance information. EURASIP Journal on Audio, Speech, and Music Processing. https://doi.org/10.1186/s13636-021-00210-x bibtex: '@article{Gburrek_Schmalenstroeer_Haeb-Umbach_2021, title={Geometry calibration in wireless acoustic sensor networks utilizing DoA and distance information}, DOI={10.1186/s13636-021-00210-x}, journal={EURASIP Journal on Audio, Speech, and Music Processing}, author={Gburrek, Tobias and Schmalenstroeer, Joerg and Haeb-Umbach, Reinhold}, year={2021} }' chicago: Gburrek, Tobias, Joerg Schmalenstroeer, and Reinhold Haeb-Umbach. “Geometry Calibration in Wireless Acoustic Sensor Networks Utilizing DoA and Distance Information.” EURASIP Journal on Audio, Speech, and Music Processing, 2021. https://doi.org/10.1186/s13636-021-00210-x. ieee: 'T. Gburrek, J. Schmalenstroeer, and R. Haeb-Umbach, “Geometry calibration in wireless acoustic sensor networks utilizing DoA and distance information,” EURASIP Journal on Audio, Speech, and Music Processing, 2021, doi: 10.1186/s13636-021-00210-x.' mla: Gburrek, Tobias, et al. “Geometry Calibration in Wireless Acoustic Sensor Networks Utilizing DoA and Distance Information.” EURASIP Journal on Audio, Speech, and Music Processing, 2021, doi:10.1186/s13636-021-00210-x. short: T. Gburrek, J. Schmalenstroeer, R. Haeb-Umbach, EURASIP Journal on Audio, Speech, and Music Processing (2021). date_created: 2021-07-05T05:30:15Z date_updated: 2023-11-17T06:36:17Z department: - _id: '54' doi: 10.1186/s13636-021-00210-x language: - iso: eng main_file_link: - open_access: '1' url: https://asmp-eurasipjournals.springeropen.com/articles/10.1186/s13636-021-00210-x oa: '1' publication: EURASIP Journal on Audio, Speech, and Music Processing publication_identifier: issn: - 1687-4722 publication_status: published quality_controlled: '1' status: public title: Geometry calibration in wireless acoustic sensor networks utilizing DoA and distance information type: journal_article user_id: '44006' year: '2021' ... --- _id: '23994' author: - first_name: Tobias full_name: Gburrek, Tobias id: '44006' last_name: Gburrek - first_name: Joerg full_name: Schmalenstroeer, Joerg id: '460' last_name: Schmalenstroeer - first_name: Reinhold full_name: Haeb-Umbach, Reinhold id: '242' last_name: Haeb-Umbach citation: ama: 'Gburrek T, Schmalenstroeer J, Haeb-Umbach R. Iterative Geometry Calibration from Distance Estimates for Wireless Acoustic Sensor Networks. In: ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). ; 2021. doi:10.1109/icassp39728.2021.9413831' apa: Gburrek, T., Schmalenstroeer, J., & Haeb-Umbach, R. (2021). Iterative Geometry Calibration from Distance Estimates for Wireless Acoustic Sensor Networks. ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). https://doi.org/10.1109/icassp39728.2021.9413831 bibtex: '@inproceedings{Gburrek_Schmalenstroeer_Haeb-Umbach_2021, title={Iterative Geometry Calibration from Distance Estimates for Wireless Acoustic Sensor Networks}, DOI={10.1109/icassp39728.2021.9413831}, booktitle={ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, author={Gburrek, Tobias and Schmalenstroeer, Joerg and Haeb-Umbach, Reinhold}, year={2021} }' chicago: Gburrek, Tobias, Joerg Schmalenstroeer, and Reinhold Haeb-Umbach. “Iterative Geometry Calibration from Distance Estimates for Wireless Acoustic Sensor Networks.” In ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021. https://doi.org/10.1109/icassp39728.2021.9413831. ieee: 'T. Gburrek, J. Schmalenstroeer, and R. Haeb-Umbach, “Iterative Geometry Calibration from Distance Estimates for Wireless Acoustic Sensor Networks,” 2021, doi: 10.1109/icassp39728.2021.9413831.' mla: Gburrek, Tobias, et al. “Iterative Geometry Calibration from Distance Estimates for Wireless Acoustic Sensor Networks.” ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021, doi:10.1109/icassp39728.2021.9413831. short: 'T. Gburrek, J. Schmalenstroeer, R. Haeb-Umbach, in: ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021.' date_created: 2021-09-09T08:30:16Z date_updated: 2023-11-17T06:30:12Z ddc: - '004' department: - _id: '54' doi: 10.1109/icassp39728.2021.9413831 file: - access_level: open_access content_type: application/pdf creator: tgburrek date_created: 2023-11-17T06:29:40Z date_updated: 2023-11-17T06:30:11Z file_id: '48988' file_name: icassp21.pdf file_size: 312400 relation: main_file file_date_updated: 2023-11-17T06:30:11Z has_accepted_license: '1' language: - iso: eng oa: '1' publication: ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) publication_status: published quality_controlled: '1' status: public title: Iterative Geometry Calibration from Distance Estimates for Wireless Acoustic Sensor Networks type: conference user_id: '44006' year: '2021' ... --- _id: '23999' author: - first_name: Tobias full_name: Gburrek, Tobias id: '44006' last_name: Gburrek - first_name: Joerg full_name: Schmalenstroeer, Joerg id: '460' last_name: Schmalenstroeer - first_name: Reinhold full_name: Haeb-Umbach, Reinhold id: '242' last_name: Haeb-Umbach citation: ama: 'Gburrek T, Schmalenstroeer J, Haeb-Umbach R. On Source-Microphone Distance Estimation Using Convolutional Recurrent Neural Networks. In: Speech Communication; 14th ITG-Symposium. ; 2021:1-5.' apa: Gburrek, T., Schmalenstroeer, J., & Haeb-Umbach, R. (2021). On Source-Microphone Distance Estimation Using Convolutional Recurrent Neural Networks. Speech Communication; 14th ITG-Symposium, 1–5. bibtex: '@inproceedings{Gburrek_Schmalenstroeer_Haeb-Umbach_2021, title={On Source-Microphone Distance Estimation Using Convolutional Recurrent Neural Networks}, booktitle={Speech Communication; 14th ITG-Symposium}, author={Gburrek, Tobias and Schmalenstroeer, Joerg and Haeb-Umbach, Reinhold}, year={2021}, pages={1–5} }' chicago: Gburrek, Tobias, Joerg Schmalenstroeer, and Reinhold Haeb-Umbach. “On Source-Microphone Distance Estimation Using Convolutional Recurrent Neural Networks.” In Speech Communication; 14th ITG-Symposium, 1–5, 2021. ieee: T. Gburrek, J. Schmalenstroeer, and R. Haeb-Umbach, “On Source-Microphone Distance Estimation Using Convolutional Recurrent Neural Networks,” in Speech Communication; 14th ITG-Symposium, 2021, pp. 1–5. mla: Gburrek, Tobias, et al. “On Source-Microphone Distance Estimation Using Convolutional Recurrent Neural Networks.” Speech Communication; 14th ITG-Symposium, 2021, pp. 1–5. short: 'T. Gburrek, J. Schmalenstroeer, R. Haeb-Umbach, in: Speech Communication; 14th ITG-Symposium, 2021, pp. 1–5.' date_created: 2021-09-09T08:40:44Z date_updated: 2023-11-17T06:32:20Z ddc: - '004' department: - _id: '54' file: - access_level: open_access content_type: application/pdf creator: tgburrek date_created: 2023-11-17T06:31:37Z date_updated: 2023-11-17T06:31:37Z file_id: '48989' file_name: dist_est.pdf file_size: 449694 relation: main_file file_date_updated: 2023-11-17T06:31:37Z has_accepted_license: '1' language: - iso: eng oa: '1' page: 1-5 publication: Speech Communication; 14th ITG-Symposium quality_controlled: '1' status: public title: On Source-Microphone Distance Estimation Using Convolutional Recurrent Neural Networks type: conference user_id: '44006' year: '2021' ... --- _id: '23997' author: - first_name: Aleksej full_name: Chinaev, Aleksej last_name: Chinaev - first_name: Gerald full_name: Enzner, Gerald last_name: Enzner - first_name: Tobias full_name: Gburrek, Tobias id: '44006' last_name: Gburrek - first_name: Joerg full_name: Schmalenstroeer, Joerg id: '460' last_name: Schmalenstroeer citation: ama: 'Chinaev A, Enzner G, Gburrek T, Schmalenstroeer J. Online Estimation of Sampling Rate Offsets in Wireless Acoustic Sensor Networks with Packet Loss. In: 29th European Signal Processing Conference (EUSIPCO). ; 2021:1-5.' apa: Chinaev, A., Enzner, G., Gburrek, T., & Schmalenstroeer, J. (2021). Online Estimation of Sampling Rate Offsets in Wireless Acoustic Sensor Networks with Packet Loss. 29th European Signal Processing Conference (EUSIPCO), 1–5. bibtex: '@inproceedings{Chinaev_Enzner_Gburrek_Schmalenstroeer_2021, title={Online Estimation of Sampling Rate Offsets in Wireless Acoustic Sensor Networks with Packet Loss}, booktitle={29th European Signal Processing Conference (EUSIPCO)}, author={Chinaev, Aleksej and Enzner, Gerald and Gburrek, Tobias and Schmalenstroeer, Joerg}, year={2021}, pages={1–5} }' chicago: Chinaev, Aleksej, Gerald Enzner, Tobias Gburrek, and Joerg Schmalenstroeer. “Online Estimation of Sampling Rate Offsets in Wireless Acoustic Sensor Networks with Packet Loss.” In 29th European Signal Processing Conference (EUSIPCO), 1–5, 2021. ieee: A. Chinaev, G. Enzner, T. Gburrek, and J. Schmalenstroeer, “Online Estimation of Sampling Rate Offsets in Wireless Acoustic Sensor Networks with Packet Loss,” in 29th European Signal Processing Conference (EUSIPCO), 2021, pp. 1–5. mla: Chinaev, Aleksej, et al. “Online Estimation of Sampling Rate Offsets in Wireless Acoustic Sensor Networks with Packet Loss.” 29th European Signal Processing Conference (EUSIPCO), 2021, pp. 1–5. short: 'A. Chinaev, G. Enzner, T. Gburrek, J. Schmalenstroeer, in: 29th European Signal Processing Conference (EUSIPCO), 2021, pp. 1–5.' date_created: 2021-09-09T08:39:06Z date_updated: 2023-11-17T06:37:10Z department: - _id: '54' language: - iso: eng main_file_link: - open_access: '1' url: https://eurasip.org/Proceedings/Eusipco/Eusipco2021/pdfs/0001110.pdf oa: '1' page: 1-5 publication: 29th European Signal Processing Conference (EUSIPCO) quality_controlled: '1' status: public title: Online Estimation of Sampling Rate Offsets in Wireless Acoustic Sensor Networks with Packet Loss type: conference user_id: '44006' year: '2021' ... --- _id: '20505' abstract: - lang: eng text: "Speech activity detection (SAD), which often rests on the fact that the noise is \"more'' stationary than speech, is particularly challenging in non-stationary environments, because the time variance of the acoustic scene makes it difficult to discriminate speech from noise. We propose two approaches to SAD, where one is based on statistical signal processing, while the other utilizes neural networks. The former employs sophisticated signal processing to track the noise and speech energies and is meant to support the case for a resource efficient, unsupervised signal processing approach.\r\nThe latter introduces a recurrent network layer that operates on short segments of the input speech to do temporal smoothing in the presence of non-stationary noise. The systems are tested on the Fearless Steps challenge database, which consists of the transmission data from the Apollo-11 space mission.\r\nThe statistical SAD achieves comparable detection performance to earlier proposed neural network based SADs, while the neural network based approach leads to a decision cost function of 1.07% on the evaluation set of the 2020 Fearless Steps Challenge, which sets a new state of the art." author: - first_name: Jens full_name: Heitkaemper, Jens id: '27643' last_name: Heitkaemper - first_name: Joerg full_name: Schmalenstroeer, Joerg id: '460' last_name: Schmalenstroeer - first_name: Reinhold full_name: Haeb-Umbach, Reinhold id: '242' last_name: Haeb-Umbach citation: ama: 'Heitkaemper J, Schmalenstroeer J, Haeb-Umbach R. Statistical and Neural Network Based Speech Activity Detection in Non-Stationary Acoustic Environments. In: INTERSPEECH 2020 Virtual Shanghai China. ; 2020.' apa: Heitkaemper, J., Schmalenstroeer, J., & Haeb-Umbach, R. (2020). Statistical and Neural Network Based Speech Activity Detection in Non-Stationary Acoustic Environments. INTERSPEECH 2020 Virtual Shanghai China. bibtex: '@inproceedings{Heitkaemper_Schmalenstroeer_Haeb-Umbach_2020, title={Statistical and Neural Network Based Speech Activity Detection in Non-Stationary Acoustic Environments}, booktitle={INTERSPEECH 2020 Virtual Shanghai China}, author={Heitkaemper, Jens and Schmalenstroeer, Joerg and Haeb-Umbach, Reinhold}, year={2020} }' chicago: Heitkaemper, Jens, Joerg Schmalenstroeer, and Reinhold Haeb-Umbach. “Statistical and Neural Network Based Speech Activity Detection in Non-Stationary Acoustic Environments.” In INTERSPEECH 2020 Virtual Shanghai China, 2020. ieee: J. Heitkaemper, J. Schmalenstroeer, and R. Haeb-Umbach, “Statistical and Neural Network Based Speech Activity Detection in Non-Stationary Acoustic Environments,” 2020. mla: Heitkaemper, Jens, et al. “Statistical and Neural Network Based Speech Activity Detection in Non-Stationary Acoustic Environments.” INTERSPEECH 2020 Virtual Shanghai China, 2020. short: 'J. Heitkaemper, J. Schmalenstroeer, R. Haeb-Umbach, in: INTERSPEECH 2020 Virtual Shanghai China, 2020.' date_created: 2020-11-25T15:03:19Z date_updated: 2023-10-26T08:28:49Z ddc: - '000' department: - _id: '54' file: - access_level: closed content_type: application/pdf creator: jensheit date_created: 2020-12-11T12:33:04Z date_updated: 2020-12-11T12:33:04Z file_id: '20697' file_name: ms.pdf file_size: 998706 relation: main_file success: 1 file_date_updated: 2020-12-11T12:33:04Z has_accepted_license: '1' keyword: - voice activity detection - speech activity detection - neural network - statistical speech processing language: - iso: eng project: - _id: '52' name: Computing Resources Provided by the Paderborn Center for Parallel Computing publication: INTERSPEECH 2020 Virtual Shanghai China status: public title: Statistical and Neural Network Based Speech Activity Detection in Non-Stationary Acoustic Environments type: conference user_id: '460' year: '2020' ... --- _id: '18651' abstract: - lang: eng text: 'We present an approach to deep neural network based (DNN-based) distance estimation in reverberant rooms for supporting geometry calibration tasks in wireless acoustic sensor networks. Signal diffuseness information from acoustic signals is aggregated via the coherent-to-diffuse power ratio to obtain a distance-related feature, which is mapped to a source-to-microphone distance estimate by means of a DNN. This information is then combined with direction-of-arrival estimates from compact microphone arrays to infer the geometry of the sensor network. Unlike many other approaches to geometry calibration, the proposed scheme does only require that the sampling clocks of the sensor nodes are roughly synchronized. In simulations we show that the proposed DNN-based distance estimator generalizes to unseen acoustic environments and that precise estimates of the sensor node positions are obtained. ' author: - first_name: Tobias full_name: Gburrek, Tobias id: '44006' last_name: Gburrek - first_name: Joerg full_name: Schmalenstroeer, Joerg id: '460' last_name: Schmalenstroeer - first_name: Andreas full_name: Brendel, Andreas last_name: Brendel - first_name: Walter full_name: Kellermann, Walter last_name: Kellermann - first_name: Reinhold full_name: Haeb-Umbach, Reinhold id: '242' last_name: Haeb-Umbach citation: ama: 'Gburrek T, Schmalenstroeer J, Brendel A, Kellermann W, Haeb-Umbach R. Deep Neural Network based Distance Estimation for Geometry Calibration in Acoustic Sensor Network. In: European Signal Processing Conference (EUSIPCO). ; 2020.' apa: Gburrek, T., Schmalenstroeer, J., Brendel, A., Kellermann, W., & Haeb-Umbach, R. (2020). Deep Neural Network based Distance Estimation for Geometry Calibration in Acoustic Sensor Network. European Signal Processing Conference (EUSIPCO). bibtex: '@inproceedings{Gburrek_Schmalenstroeer_Brendel_Kellermann_Haeb-Umbach_2020, title={Deep Neural Network based Distance Estimation for Geometry Calibration in Acoustic Sensor Network}, booktitle={European Signal Processing Conference (EUSIPCO)}, author={Gburrek, Tobias and Schmalenstroeer, Joerg and Brendel, Andreas and Kellermann, Walter and Haeb-Umbach, Reinhold}, year={2020} }' chicago: Gburrek, Tobias, Joerg Schmalenstroeer, Andreas Brendel, Walter Kellermann, and Reinhold Haeb-Umbach. “Deep Neural Network Based Distance Estimation for Geometry Calibration in Acoustic Sensor Network.” In European Signal Processing Conference (EUSIPCO), 2020. ieee: T. Gburrek, J. Schmalenstroeer, A. Brendel, W. Kellermann, and R. Haeb-Umbach, “Deep Neural Network based Distance Estimation for Geometry Calibration in Acoustic Sensor Network,” 2020. mla: Gburrek, Tobias, et al. “Deep Neural Network Based Distance Estimation for Geometry Calibration in Acoustic Sensor Network.” European Signal Processing Conference (EUSIPCO), 2020. short: 'T. Gburrek, J. Schmalenstroeer, A. Brendel, W. Kellermann, R. Haeb-Umbach, in: European Signal Processing Conference (EUSIPCO), 2020.' date_created: 2020-08-31T07:20:57Z date_updated: 2023-11-17T06:23:39Z ddc: - '004' department: - _id: '54' file: - access_level: open_access content_type: application/pdf creator: tgburrek date_created: 2023-11-17T06:21:40Z date_updated: 2023-11-17T06:21:40Z file_id: '48987' file_name: Gburrek2020.pdf file_size: 292159 relation: main_file file_date_updated: 2023-11-17T06:21:40Z has_accepted_license: '1' language: - iso: eng oa: '1' publication: European Signal Processing Conference (EUSIPCO) quality_controlled: '1' status: public title: Deep Neural Network based Distance Estimation for Geometry Calibration in Acoustic Sensor Network type: conference user_id: '44006' year: '2020' ... --- _id: '15952' abstract: - lang: eng text: Arbitrary sampling rate conversion has already received considerable attention in the past, but still lacks an equivalent representation of the effective time-dilation process in the block frequency domain. Good sampling rate converters in the time domain have been known, for instance, in terms of time-varying 'Sinc' or fixed 'Farrow' polynomial filters. The former can deliver nearly exact conversion at high complexity, while the latter has pronounced computational efficiency with limited accuracy. Only recently, it was shown that a composite 'polyphase Farrow' form with high resampling precision can be implemented with quasi-fixed filters that operate at the input sampling rate. We therefore propose to capitalize from that fixed-filter architecture in that we translate the polyphase-Farrow filters into an equivalent FFT-based overlap-save form. Experimental evaluation and comparison with other state-of-the art frequency-domain approaches then proves currently the best price-performance ratio of the proposed algorithm. It is thus an ideal candidate for the new framework of acoustic sensor networks that critically rests upon fast and accurate alignment of autonomous sampling processes. author: - first_name: Joerg full_name: Schmalenstroeer, Joerg id: '460' last_name: Schmalenstroeer - first_name: Aleksej full_name: Chinaev, Aleksej last_name: Chinaev - first_name: Gerald full_name: Enzner, Gerald last_name: Enzner citation: ama: 'Schmalenstroeer J, Chinaev A, Enzner G. Fast and Accurate Audio Resampling for Acoustic Sensor Networks by Polyphase-Farrow Filters with FFT Realization. In: Speech Communication; 13th ITG-Symposium. ; 2018:1-5.' apa: Schmalenstroeer, J., Chinaev, A., & Enzner, G. (2018). Fast and Accurate Audio Resampling for Acoustic Sensor Networks by Polyphase-Farrow Filters with FFT Realization. Speech Communication; 13th ITG-Symposium, 1–5. bibtex: '@inproceedings{Schmalenstroeer_Chinaev_Enzner_2018, title={Fast and Accurate Audio Resampling for Acoustic Sensor Networks by Polyphase-Farrow Filters with FFT Realization}, booktitle={Speech Communication; 13th ITG-Symposium}, author={Schmalenstroeer, Joerg and Chinaev, Aleksej and Enzner, Gerald}, year={2018}, pages={1–5} }' chicago: Schmalenstroeer, Joerg, Aleksej Chinaev, and Gerald Enzner. “Fast and Accurate Audio Resampling for Acoustic Sensor Networks by Polyphase-Farrow Filters with FFT Realization.” In Speech Communication; 13th ITG-Symposium, 1–5, 2018. ieee: J. Schmalenstroeer, A. Chinaev, and G. Enzner, “Fast and Accurate Audio Resampling for Acoustic Sensor Networks by Polyphase-Farrow Filters with FFT Realization,” in Speech Communication; 13th ITG-Symposium, 2018, pp. 1–5. mla: Schmalenstroeer, Joerg, et al. “Fast and Accurate Audio Resampling for Acoustic Sensor Networks by Polyphase-Farrow Filters with FFT Realization.” Speech Communication; 13th ITG-Symposium, 2018, pp. 1–5. short: 'J. Schmalenstroeer, A. Chinaev, G. Enzner, in: Speech Communication; 13th ITG-Symposium, 2018, pp. 1–5.' date_created: 2020-02-21T08:53:14Z date_updated: 2023-10-26T08:04:30Z language: - iso: eng page: 1-5 project: - _id: '52' name: Computing Resources Provided by the Paderborn Center for Parallel Computing publication: Speech Communication; 13th ITG-Symposium publication_identifier: issn: - 'null' quality_controlled: '1' status: public title: Fast and Accurate Audio Resampling for Acoustic Sensor Networks by Polyphase-Farrow Filters with FFT Realization type: conference user_id: '460' year: '2018' ... --- _id: '12899' abstract: - lang: eng text: This contribution presents a speech enhancement system for the CHiME-5 Dinner Party Scenario. The front-end employs multi-channel linear time-variant filtering and achieves its gains without the use of a neural network. We present an adaptation of blind source separation techniques to the CHiME-5 database which we call Guided Source Separation (GSS). Using the baseline acoustic and language model, the combination of Weighted Prediction Error based dereverberation, guided source separation, and beamforming reduces the WER by 10:54% (relative) for the single array track and by 21:12% (relative) on the multiple array track. author: - first_name: Christoph full_name: Boeddeker, Christoph id: '40767' last_name: Boeddeker - first_name: Jens full_name: Heitkaemper, Jens id: '27643' last_name: Heitkaemper - first_name: Joerg full_name: Schmalenstroeer, Joerg id: '460' last_name: Schmalenstroeer - first_name: Lukas full_name: Drude, Lukas id: '11213' last_name: Drude - first_name: Jahn full_name: Heymann, Jahn last_name: Heymann - first_name: Reinhold full_name: Haeb-Umbach, Reinhold id: '242' last_name: Haeb-Umbach citation: ama: 'Boeddeker C, Heitkaemper J, Schmalenstroeer J, Drude L, Heymann J, Haeb-Umbach R. Front-End Processing for the CHiME-5 Dinner Party Scenario. In: Proc. CHiME 2018 Workshop on Speech Processing in Everyday Environments, Hyderabad, India. ; 2018.' apa: Boeddeker, C., Heitkaemper, J., Schmalenstroeer, J., Drude, L., Heymann, J., & Haeb-Umbach, R. (2018). Front-End Processing for the CHiME-5 Dinner Party Scenario. Proc. CHiME 2018 Workshop on Speech Processing in Everyday Environments, Hyderabad, India. bibtex: '@inproceedings{Boeddeker_Heitkaemper_Schmalenstroeer_Drude_Heymann_Haeb-Umbach_2018, title={Front-End Processing for the CHiME-5 Dinner Party Scenario}, booktitle={Proc. CHiME 2018 Workshop on Speech Processing in Everyday Environments, Hyderabad, India}, author={Boeddeker, Christoph and Heitkaemper, Jens and Schmalenstroeer, Joerg and Drude, Lukas and Heymann, Jahn and Haeb-Umbach, Reinhold}, year={2018} }' chicago: Boeddeker, Christoph, Jens Heitkaemper, Joerg Schmalenstroeer, Lukas Drude, Jahn Heymann, and Reinhold Haeb-Umbach. “Front-End Processing for the CHiME-5 Dinner Party Scenario.” In Proc. CHiME 2018 Workshop on Speech Processing in Everyday Environments, Hyderabad, India, 2018. ieee: C. Boeddeker, J. Heitkaemper, J. Schmalenstroeer, L. Drude, J. Heymann, and R. Haeb-Umbach, “Front-End Processing for the CHiME-5 Dinner Party Scenario,” 2018. mla: Boeddeker, Christoph, et al. “Front-End Processing for the CHiME-5 Dinner Party Scenario.” Proc. CHiME 2018 Workshop on Speech Processing in Everyday Environments, Hyderabad, India, 2018. short: 'C. Boeddeker, J. Heitkaemper, J. Schmalenstroeer, L. Drude, J. Heymann, R. Haeb-Umbach, in: Proc. CHiME 2018 Workshop on Speech Processing in Everyday Environments, Hyderabad, India, 2018.' date_created: 2019-07-30T14:35:15Z date_updated: 2023-10-26T08:14:15Z department: - _id: '54' language: - iso: eng main_file_link: - open_access: '1' url: https://groups.uni-paderborn.de/nt/pubs/2018/INTERSPEECH_2018_Heitkaemper_Paper.pdf oa: '1' project: - _id: '52' name: Computing Resources Provided by the Paderborn Center for Parallel Computing publication: Proc. CHiME 2018 Workshop on Speech Processing in Everyday Environments, Hyderabad, India quality_controlled: '1' related_material: link: - description: Poster relation: supplementary_material url: https://groups.uni-paderborn.de/nt/pubs/2018/INTERSPEECH_2018_Heitkaemper_Poster.pdf status: public title: Front-End Processing for the CHiME-5 Dinner Party Scenario type: conference user_id: '460' year: '2018' ... --- _id: '6859' abstract: - lang: eng text: "Signal processing in WASNs is based on a software framework for hosting the algorithms as well as on a set of wireless connected devices representing the hardware. Each of the nodes contributes memory, processing power, communication bandwidth and some sensor information for the tasks to be solved on the network. \r\nIn this paper we present our MARVELO framework for distributed signal processing. It is intended for transforming existing centralized implementations into distributed versions. To this end, the software only needs a block-oriented implementation, which MARVELO picks-up and distributes on the network. Additionally, our sensor node hardware and the audio interfaces responsible for multi-channel recordings are presented." author: - first_name: Haitham full_name: Afifi, Haitham id: '65718' last_name: Afifi - first_name: Joerg full_name: Schmalenstroeer, Joerg id: '460' last_name: Schmalenstroeer - first_name: Joerg full_name: Ullmann, Joerg id: '16256' last_name: Ullmann - first_name: Reinhold full_name: Haeb-Umbach, Reinhold id: '242' last_name: Haeb-Umbach - first_name: Holger full_name: Karl, Holger id: '126' last_name: Karl citation: ama: 'Afifi H, Schmalenstroeer J, Ullmann J, Haeb-Umbach R, Karl H. MARVELO - A Framework for Signal Processing in Wireless Acoustic Sensor Networks. In: Speech Communication; 13th ITG-Symposium. ; 2018:1-5.' apa: Afifi, H., Schmalenstroeer, J., Ullmann, J., Haeb-Umbach, R., & Karl, H. (2018). MARVELO - A Framework for Signal Processing in Wireless Acoustic Sensor Networks. Speech Communication; 13th ITG-Symposium, 1–5. bibtex: '@inproceedings{Afifi_Schmalenstroeer_Ullmann_Haeb-Umbach_Karl_2018, title={MARVELO - A Framework for Signal Processing in Wireless Acoustic Sensor Networks}, booktitle={Speech Communication; 13th ITG-Symposium}, author={Afifi, Haitham and Schmalenstroeer, Joerg and Ullmann, Joerg and Haeb-Umbach, Reinhold and Karl, Holger}, year={2018}, pages={1–5} }' chicago: Afifi, Haitham, Joerg Schmalenstroeer, Joerg Ullmann, Reinhold Haeb-Umbach, and Holger Karl. “MARVELO - A Framework for Signal Processing in Wireless Acoustic Sensor Networks.” In Speech Communication; 13th ITG-Symposium, 1–5, 2018. ieee: H. Afifi, J. Schmalenstroeer, J. Ullmann, R. Haeb-Umbach, and H. Karl, “MARVELO - A Framework for Signal Processing in Wireless Acoustic Sensor Networks,” in Speech Communication; 13th ITG-Symposium, 2018, pp. 1–5. mla: Afifi, Haitham, et al. “MARVELO - A Framework for Signal Processing in Wireless Acoustic Sensor Networks.” Speech Communication; 13th ITG-Symposium, 2018, pp. 1–5. short: 'H. Afifi, J. Schmalenstroeer, J. Ullmann, R. Haeb-Umbach, H. Karl, in: Speech Communication; 13th ITG-Symposium, 2018, pp. 1–5.' date_created: 2019-01-17T15:47:35Z date_updated: 2023-10-26T08:15:32Z department: - _id: '75' - _id: '54' language: - iso: eng page: 1-5 project: - _id: '27' name: 'Akustische Sensornetzwerke - Teilprojekt ' - _id: '27' name: Akustische Sensornetzwerke - Teilprojekt "Verteilte akustische Signalverarbeitung über funkbasierte Sensornetzwerke publication: Speech Communication; 13th ITG-Symposium quality_controlled: '1' status: public title: MARVELO - A Framework for Signal Processing in Wireless Acoustic Sensor Networks type: conference user_id: '460' year: '2018' ... --- _id: '11838' abstract: - lang: eng text: Distributed sensor data acquisition usually encompasses data sampling by the individual devices, where each of them has its own oscillator driving the local sampling process, resulting in slightly different sampling rates at the individual sensor nodes. Nevertheless, for certain downstream signal processing tasks it is important to compensate even for small sampling rate offsets. Aligning the sampling rates of oscillators which differ only by a few parts-per-million, is, however, challenging and quite different from traditional multirate signal processing tasks. In this paper we propose to transfer a precise but computationally demanding time domain approach, inspired by the Nyquist-Shannon sampling theorem, to an efficient frequency domain implementation. To this end a buffer control is employed which compensates for sampling offsets which are multiples of the sampling period, while a digital filter, realized by the wellknown Overlap-Save method, handles the fractional part of the sampling phase offset. With experiments on artificially misaligned data we investigate the parametrization, the efficiency, and the induced distortions of the proposed resampling method. It is shown that a favorable compromise between residual distortion and computational complexity is achieved, compared to other sampling rate offset compensation techniques. author: - first_name: Joerg full_name: Schmalenstroeer, Joerg id: '460' last_name: Schmalenstroeer - first_name: Reinhold full_name: Haeb-Umbach, Reinhold id: '242' last_name: Haeb-Umbach citation: ama: 'Schmalenstroeer J, Haeb-Umbach R. Efficient Sampling Rate Offset Compensation - An Overlap-Save Based Approach. In: 26th European Signal Processing Conference (EUSIPCO 2018). ; 2018.' apa: Schmalenstroeer, J., & Haeb-Umbach, R. (2018). Efficient Sampling Rate Offset Compensation - An Overlap-Save Based Approach. 26th European Signal Processing Conference (EUSIPCO 2018). bibtex: '@inproceedings{Schmalenstroeer_Haeb-Umbach_2018, title={Efficient Sampling Rate Offset Compensation - An Overlap-Save Based Approach}, booktitle={26th European Signal Processing Conference (EUSIPCO 2018)}, author={Schmalenstroeer, Joerg and Haeb-Umbach, Reinhold}, year={2018} }' chicago: Schmalenstroeer, Joerg, and Reinhold Haeb-Umbach. “Efficient Sampling Rate Offset Compensation - An Overlap-Save Based Approach.” In 26th European Signal Processing Conference (EUSIPCO 2018), 2018. ieee: J. Schmalenstroeer and R. Haeb-Umbach, “Efficient Sampling Rate Offset Compensation - An Overlap-Save Based Approach,” 2018. mla: Schmalenstroeer, Joerg, and Reinhold Haeb-Umbach. “Efficient Sampling Rate Offset Compensation - An Overlap-Save Based Approach.” 26th European Signal Processing Conference (EUSIPCO 2018), 2018. short: 'J. Schmalenstroeer, R. Haeb-Umbach, in: 26th European Signal Processing Conference (EUSIPCO 2018), 2018.' date_created: 2019-07-12T05:29:14Z date_updated: 2023-10-26T08:12:33Z department: - _id: '54' language: - iso: eng main_file_link: - open_access: '1' url: https://groups.uni-paderborn.de/nt/pubs/2018/Eusipco_2018_Schmalenstroeer_Paper.pdf oa: '1' publication: 26th European Signal Processing Conference (EUSIPCO 2018) quality_controlled: '1' status: public title: Efficient Sampling Rate Offset Compensation - An Overlap-Save Based Approach type: conference user_id: '460' year: '2018' ... --- _id: '11876' abstract: - lang: eng text: This paper describes the systems for the single-array track and the multiple-array track of the 5th CHiME Challenge. The final system is a combination of multiple systems, using Confusion Network Combination (CNC). The different systems presented here are utilizing different front-ends and training sets for a Bidirectional Long Short-Term Memory (BLSTM) Acoustic Model (AM). The front-end was replaced by enhancements provided by Paderborn University [1]. The back-end has been implemented using RASR [2] and RETURNN [3]. Additionally, a system combination including the hypothesis word graphs from the system of the submission [1] has been performed, which results in the final best system. author: - first_name: Markus full_name: Kitza, Markus last_name: Kitza - first_name: Wilfried full_name: Michel, Wilfried last_name: Michel - first_name: Christoph full_name: Boeddeker, Christoph id: '40767' last_name: Boeddeker - first_name: Jens full_name: Heitkaemper, Jens id: '27643' last_name: Heitkaemper - first_name: Tobias full_name: Menne, Tobias last_name: Menne - first_name: Ralf full_name: Schlüter, Ralf last_name: Schlüter - first_name: Hermann full_name: Ney, Hermann last_name: Ney - first_name: Joerg full_name: Schmalenstroeer, Joerg id: '460' last_name: Schmalenstroeer - first_name: Lukas full_name: Drude, Lukas id: '11213' last_name: Drude - first_name: Jahn full_name: Heymann, Jahn id: '9168' last_name: Heymann - first_name: Reinhold full_name: Haeb-Umbach, Reinhold id: '242' last_name: Haeb-Umbach citation: ama: 'Kitza M, Michel W, Boeddeker C, et al. The RWTH/UPB System Combination for the CHiME 2018 Workshop. In: Proc. CHiME 2018 Workshop on Speech Processing in Everyday Environments, Hyderabad, India. ; 2018.' apa: Kitza, M., Michel, W., Boeddeker, C., Heitkaemper, J., Menne, T., Schlüter, R., Ney, H., Schmalenstroeer, J., Drude, L., Heymann, J., & Haeb-Umbach, R. (2018). The RWTH/UPB System Combination for the CHiME 2018 Workshop. Proc. CHiME 2018 Workshop on Speech Processing in Everyday Environments, Hyderabad, India. bibtex: '@inproceedings{Kitza_Michel_Boeddeker_Heitkaemper_Menne_Schlüter_Ney_Schmalenstroeer_Drude_Heymann_et al._2018, title={The RWTH/UPB System Combination for the CHiME 2018 Workshop}, booktitle={Proc. CHiME 2018 Workshop on Speech Processing in Everyday Environments, Hyderabad, India}, author={Kitza, Markus and Michel, Wilfried and Boeddeker, Christoph and Heitkaemper, Jens and Menne, Tobias and Schlüter, Ralf and Ney, Hermann and Schmalenstroeer, Joerg and Drude, Lukas and Heymann, Jahn and et al.}, year={2018} }' chicago: Kitza, Markus, Wilfried Michel, Christoph Boeddeker, Jens Heitkaemper, Tobias Menne, Ralf Schlüter, Hermann Ney, et al. “The RWTH/UPB System Combination for the CHiME 2018 Workshop.” In Proc. CHiME 2018 Workshop on Speech Processing in Everyday Environments, Hyderabad, India, 2018. ieee: M. Kitza et al., “The RWTH/UPB System Combination for the CHiME 2018 Workshop,” 2018. mla: Kitza, Markus, et al. “The RWTH/UPB System Combination for the CHiME 2018 Workshop.” Proc. CHiME 2018 Workshop on Speech Processing in Everyday Environments, Hyderabad, India, 2018. short: 'M. Kitza, W. Michel, C. Boeddeker, J. Heitkaemper, T. Menne, R. Schlüter, H. Ney, J. Schmalenstroeer, L. Drude, J. Heymann, R. Haeb-Umbach, in: Proc. CHiME 2018 Workshop on Speech Processing in Everyday Environments, Hyderabad, India, 2018.' date_created: 2019-07-12T05:29:58Z date_updated: 2023-10-26T08:12:14Z department: - _id: '54' language: - iso: eng main_file_link: - open_access: '1' url: https://groups.uni-paderborn.de/nt/pubs/2018/INTERSPEECH_2018_Heitkaemper_RWTH_Paper.pdf oa: '1' publication: Proc. CHiME 2018 Workshop on Speech Processing in Everyday Environments, Hyderabad, India quality_controlled: '1' status: public title: The RWTH/UPB System Combination for the CHiME 2018 Workshop type: conference user_id: '460' year: '2018' ... --- _id: '11836' abstract: - lang: eng text: Due to their distributed nature wireless acoustic sensor networks offer great potential for improved signal acquisition, processing and classification for applications such as monitoring and surveillance, home automation, or hands-free telecommunication. To reduce the communication demand with a central server and to raise the privacy level it is desirable to perform processing at node level. The limited processing and memory capabilities on a sensor node, however, stand in contrast to the compute and memory intensive deep learning algorithms used in modern speech and audio processing. In this work, we perform benchmarking of commonly used convolutional and recurrent neural network architectures on a Raspberry Pi based acoustic sensor node. We show that it is possible to run medium-sized neural network topologies used for speech enhancement and speech recognition in real time. For acoustic event recognition, where predictions in a lower temporal resolution are sufficient, it is even possible to run current state-of-the-art deep convolutional models with a real-time-factor of 0:11. author: - first_name: Janek full_name: Ebbers, Janek id: '34851' last_name: Ebbers - first_name: Jens full_name: Heitkaemper, Jens id: '27643' last_name: Heitkaemper - first_name: Joerg full_name: Schmalenstroeer, Joerg id: '460' last_name: Schmalenstroeer - first_name: Reinhold full_name: Haeb-Umbach, Reinhold id: '242' last_name: Haeb-Umbach citation: ama: 'Ebbers J, Heitkaemper J, Schmalenstroeer J, Haeb-Umbach R. Benchmarking Neural Network Architectures for Acoustic Sensor Networks. In: ITG 2018, Oldenburg, Germany. ; 2018.' apa: Ebbers, J., Heitkaemper, J., Schmalenstroeer, J., & Haeb-Umbach, R. (2018). Benchmarking Neural Network Architectures for Acoustic Sensor Networks. ITG 2018, Oldenburg, Germany. bibtex: '@inproceedings{Ebbers_Heitkaemper_Schmalenstroeer_Haeb-Umbach_2018, title={Benchmarking Neural Network Architectures for Acoustic Sensor Networks}, booktitle={ITG 2018, Oldenburg, Germany}, author={Ebbers, Janek and Heitkaemper, Jens and Schmalenstroeer, Joerg and Haeb-Umbach, Reinhold}, year={2018} }' chicago: Ebbers, Janek, Jens Heitkaemper, Joerg Schmalenstroeer, and Reinhold Haeb-Umbach. “Benchmarking Neural Network Architectures for Acoustic Sensor Networks.” In ITG 2018, Oldenburg, Germany, 2018. ieee: J. Ebbers, J. Heitkaemper, J. Schmalenstroeer, and R. Haeb-Umbach, “Benchmarking Neural Network Architectures for Acoustic Sensor Networks,” 2018. mla: Ebbers, Janek, et al. “Benchmarking Neural Network Architectures for Acoustic Sensor Networks.” ITG 2018, Oldenburg, Germany, 2018. short: 'J. Ebbers, J. Heitkaemper, J. Schmalenstroeer, R. Haeb-Umbach, in: ITG 2018, Oldenburg, Germany, 2018.' date_created: 2019-07-12T05:29:11Z date_updated: 2023-10-26T08:12:40Z department: - _id: '54' language: - iso: eng main_file_link: - open_access: '1' url: https://groups.uni-paderborn.de/nt/pubs/2018/ITG_2018_Ebbers_Paper.pdf oa: '1' publication: ITG 2018, Oldenburg, Germany quality_controlled: '1' related_material: link: - description: Poster relation: supplementary_material url: https://groups.uni-paderborn.de/nt/pubs/2018/ITG_2018_Ebbers_Poster.pdf status: public title: Benchmarking Neural Network Architectures for Acoustic Sensor Networks type: conference user_id: '460' year: '2018' ... --- _id: '11839' abstract: - lang: eng text: It has been experimentally verified that sampling rate offsets (SROs) between the input channels of an acoustic beamformer have a detrimental effect on the achievable SNR gains. In this paper we derive an analytic model to study the impact of SRO on the estimation of the spatial noise covariance matrix used in MVDR beamforming. It is shown that a perfect compensation of the SRO is impossible if the noise covariance matrix is estimated by time averaging, even if the SRO is perfectly known. The SRO should therefore be compensated for prior to beamformer coefficient estimation. We present a novel scheme where SRO compensation and beamforming closely interact, saving some computational effort compared to separate SRO adjustment followed by acoustic beamforming. author: - first_name: Joerg full_name: Schmalenstroeer, Joerg id: '460' last_name: Schmalenstroeer - first_name: Reinhold full_name: Haeb-Umbach, Reinhold id: '242' last_name: Haeb-Umbach citation: ama: 'Schmalenstroeer J, Haeb-Umbach R. Insights into the Interplay of Sampling Rate Offsets and MVDR Beamforming. In: ITG 2018, Oldenburg, Germany. ; 2018.' apa: Schmalenstroeer, J., & Haeb-Umbach, R. (2018). Insights into the Interplay of Sampling Rate Offsets and MVDR Beamforming. ITG 2018, Oldenburg, Germany. bibtex: '@inproceedings{Schmalenstroeer_Haeb-Umbach_2018, title={Insights into the Interplay of Sampling Rate Offsets and MVDR Beamforming}, booktitle={ITG 2018, Oldenburg, Germany}, author={Schmalenstroeer, Joerg and Haeb-Umbach, Reinhold}, year={2018} }' chicago: Schmalenstroeer, Joerg, and Reinhold Haeb-Umbach. “Insights into the Interplay of Sampling Rate Offsets and MVDR Beamforming.” In ITG 2018, Oldenburg, Germany, 2018. ieee: J. Schmalenstroeer and R. Haeb-Umbach, “Insights into the Interplay of Sampling Rate Offsets and MVDR Beamforming,” 2018. mla: Schmalenstroeer, Joerg, and Reinhold Haeb-Umbach. “Insights into the Interplay of Sampling Rate Offsets and MVDR Beamforming.” ITG 2018, Oldenburg, Germany, 2018. short: 'J. Schmalenstroeer, R. Haeb-Umbach, in: ITG 2018, Oldenburg, Germany, 2018.' date_created: 2019-07-12T05:29:15Z date_updated: 2023-10-26T08:12:22Z department: - _id: '54' language: - iso: eng main_file_link: - open_access: '1' url: https://groups.uni-paderborn.de/nt/pubs/2018/ITG_2018_Schmalenstroeer_Paper.pdf oa: '1' publication: ITG 2018, Oldenburg, Germany quality_controlled: '1' status: public title: Insights into the Interplay of Sampling Rate Offsets and MVDR Beamforming type: conference user_id: '460' year: '2018' ... --- _id: '12081' abstract: - lang: eng text: 'The invention relates to a building or enclosure termination opening and/or closing apparatus having communication signed or encrypted by means of a key, and to a method for operating such. To allow simple, convenient and secure use by exclusively authorised users, the apparatus comprises: a first and a second user terminal, with secure forwarding of a time-limited key from the first to the second user terminal being possible. According to an alternative, individual keys are generated by a user identification and a secret device key.' author: - first_name: Florian full_name: Jacob, Florian last_name: Jacob - first_name: Joerg full_name: Schmalenstroeer, Joerg id: '460' last_name: Schmalenstroeer citation: ama: Jacob F, Schmalenstroeer J. Building or Enclosure Termination Closing and/or Opening Apparatus, and Method for Operating a Building or Enclosure Termination. 2017. apa: Jacob, F., & Schmalenstroeer, J. (2017). Building or Enclosure Termination Closing and/or Opening Apparatus, and Method for Operating a Building or Enclosure Termination. bibtex: '@article{Jacob_Schmalenstroeer_2017, title={Building or Enclosure Termination Closing and/or Opening Apparatus, and Method for Operating a Building or Enclosure Termination}, author={Jacob, Florian and Schmalenstroeer, Joerg}, year={2017} }' chicago: Jacob, Florian, and Joerg Schmalenstroeer. “Building or Enclosure Termination Closing and/or Opening Apparatus, and Method for Operating a Building or Enclosure Termination,” 2017. ieee: F. Jacob and J. Schmalenstroeer, “Building or Enclosure Termination Closing and/or Opening Apparatus, and Method for Operating a Building or Enclosure Termination.” 2017. mla: Jacob, Florian, and Joerg Schmalenstroeer. Building or Enclosure Termination Closing and/or Opening Apparatus, and Method for Operating a Building or Enclosure Termination. 2017. short: F. Jacob, J. Schmalenstroeer, (2017). date_created: 2019-07-19T08:07:11Z date_updated: 2022-01-06T06:51:17Z department: - _id: '54' ipc: WO2018/077610A ipn: WO2018/077610A publication_date: '2017' status: public title: Building or Enclosure Termination Closing and/or Opening Apparatus, and Method for Operating a Building or Enclosure Termination type: patent user_id: '460' year: '2017' ... --- _id: '11895' abstract: - lang: eng text: Multi-channel speech enhancement algorithms rely on a synchronous sampling of the microphone signals. This, however, cannot always be guaranteed, especially if the sensors are distributed in an environment. To avoid performance degradation the sampling rate offset needs to be estimated and compensated for. In this contribution we extend the recently proposed coherence drift based method in two important directions. First, the increasing phase shift in the short-time Fourier transform domain is estimated from the coherence drift in a Matched Filterlike fashion, where intermediate estimates are weighted by their instantaneous SNR. Second, an observed bias is removed by iterating between offset estimation and compensation by resampling a couple of times. The effectiveness of the proposed method is demonstrated by speech recognition results on the output of a beamformer with and without sampling rate offset compensation between the input channels. We compare MVDR and maximum-SNR beamformers in reverberant environments and further show that both benefit from a novel phase normalization, which we also propose in this contribution. author: - first_name: Joerg full_name: Schmalenstroeer, Joerg id: '460' last_name: Schmalenstroeer - first_name: Jahn full_name: Heymann, Jahn id: '9168' last_name: Heymann - first_name: Lukas full_name: Drude, Lukas id: '11213' last_name: Drude - first_name: Christoph full_name: Boeddeker, Christoph id: '40767' last_name: Boeddeker - first_name: Reinhold full_name: Haeb-Umbach, Reinhold id: '242' last_name: Haeb-Umbach citation: ama: 'Schmalenstroeer J, Heymann J, Drude L, Boeddeker C, Haeb-Umbach R. Multi-Stage Coherence Drift Based Sampling Rate Synchronization for Acoustic Beamforming. In: IEEE 19th International Workshop on Multimedia Signal Processing (MMSP). ; 2017.' apa: Schmalenstroeer, J., Heymann, J., Drude, L., Boeddeker, C., & Haeb-Umbach, R. (2017). Multi-Stage Coherence Drift Based Sampling Rate Synchronization for Acoustic Beamforming. IEEE 19th International Workshop on Multimedia Signal Processing (MMSP). bibtex: '@inproceedings{Schmalenstroeer_Heymann_Drude_Boeddeker_Haeb-Umbach_2017, title={Multi-Stage Coherence Drift Based Sampling Rate Synchronization for Acoustic Beamforming}, booktitle={IEEE 19th International Workshop on Multimedia Signal Processing (MMSP)}, author={Schmalenstroeer, Joerg and Heymann, Jahn and Drude, Lukas and Boeddeker, Christoph and Haeb-Umbach, Reinhold}, year={2017} }' chicago: Schmalenstroeer, Joerg, Jahn Heymann, Lukas Drude, Christoph Boeddeker, and Reinhold Haeb-Umbach. “Multi-Stage Coherence Drift Based Sampling Rate Synchronization for Acoustic Beamforming.” In IEEE 19th International Workshop on Multimedia Signal Processing (MMSP), 2017. ieee: J. Schmalenstroeer, J. Heymann, L. Drude, C. Boeddeker, and R. Haeb-Umbach, “Multi-Stage Coherence Drift Based Sampling Rate Synchronization for Acoustic Beamforming,” 2017. mla: Schmalenstroeer, Joerg, et al. “Multi-Stage Coherence Drift Based Sampling Rate Synchronization for Acoustic Beamforming.” IEEE 19th International Workshop on Multimedia Signal Processing (MMSP), 2017. short: 'J. Schmalenstroeer, J. Heymann, L. Drude, C. Boeddeker, R. Haeb-Umbach, in: IEEE 19th International Workshop on Multimedia Signal Processing (MMSP), 2017.' date_created: 2019-07-12T05:30:20Z date_updated: 2023-10-26T08:12:05Z department: - _id: '54' language: - iso: eng main_file_link: - open_access: '1' url: https://groups.uni-paderborn.de/nt/pubs/2017/MMSP_2017_SchHaeb.pdf oa: '1' publication: IEEE 19th International Workshop on Multimedia Signal Processing (MMSP) quality_controlled: '1' related_material: link: - description: Poster relation: supplementary_material url: https://groups.uni-paderborn.de/nt/pubs/2017/MMSP_2017_SchHaeb_poster.pdf status: public title: Multi-Stage Coherence Drift Based Sampling Rate Synchronization for Acoustic Beamforming type: conference user_id: '460' year: '2017' ... --- _id: '11890' abstract: - lang: eng text: In this paper we study the influence of directional radio patterns of Bluetooth low energy (BLE) beacons on smartphone localization accuracy and beacon network planning. A two-dimensional model of the power emission characteristic is derived from measurements of the radiation pattern of BLE beacons carried out in an RF chamber. The Cramer-Rao lower bound (CRLB) for position estimation is then derived for this directional power emission model. With this lower bound on the RMS positioning error the coverage of different beacon network configurations can be evaluated. For near-optimal network planing an evolutionary optimization algorithm for finding the best beacon placement is presented. author: - first_name: Joerg full_name: Schmalenstroeer, Joerg id: '460' last_name: Schmalenstroeer - first_name: Reinhold full_name: Haeb-Umbach, Reinhold id: '242' last_name: Haeb-Umbach citation: ama: 'Schmalenstroeer J, Haeb-Umbach R. Investigations into Bluetooth Low Energy Localization Precision Limits. In: 24th European Signal Processing Conference (EUSIPCO 2016). ; 2016.' apa: Schmalenstroeer, J., & Haeb-Umbach, R. (2016). Investigations into Bluetooth Low Energy Localization Precision Limits. 24th European Signal Processing Conference (EUSIPCO 2016). bibtex: '@inproceedings{Schmalenstroeer_Haeb-Umbach_2016, title={Investigations into Bluetooth Low Energy Localization Precision Limits}, booktitle={24th European Signal Processing Conference (EUSIPCO 2016)}, author={Schmalenstroeer, Joerg and Haeb-Umbach, Reinhold}, year={2016} }' chicago: Schmalenstroeer, Joerg, and Reinhold Haeb-Umbach. “Investigations into Bluetooth Low Energy Localization Precision Limits.” In 24th European Signal Processing Conference (EUSIPCO 2016), 2016. ieee: J. Schmalenstroeer and R. Haeb-Umbach, “Investigations into Bluetooth Low Energy Localization Precision Limits,” 2016. mla: Schmalenstroeer, Joerg, and Reinhold Haeb-Umbach. “Investigations into Bluetooth Low Energy Localization Precision Limits.” 24th European Signal Processing Conference (EUSIPCO 2016), 2016. short: 'J. Schmalenstroeer, R. Haeb-Umbach, in: 24th European Signal Processing Conference (EUSIPCO 2016), 2016.' date_created: 2019-07-12T05:30:14Z date_updated: 2023-10-26T08:11:52Z department: - _id: '54' language: - iso: eng main_file_link: - open_access: '1' url: https://groups.uni-paderborn.de/nt/pubs/2016/SchHaeb16.pdf oa: '1' publication: 24th European Signal Processing Conference (EUSIPCO 2016) quality_controlled: '1' related_material: link: - description: Poster relation: supplementary_material url: https://groups.uni-paderborn.de/nt/pubs/2016/SchHaeb16_Poster.pdf status: public title: Investigations into Bluetooth Low Energy Localization Precision Limits type: conference user_id: '460' year: '2016' ... --- _id: '11874' author: - first_name: Manh Kha full_name: Hoang, Manh Kha last_name: Hoang - first_name: Joerg full_name: Schmalenstroeer, Joerg id: '460' last_name: Schmalenstroeer - first_name: Reinhold full_name: Haeb-Umbach, Reinhold id: '242' last_name: Haeb-Umbach citation: ama: 'Hoang MK, Schmalenstroeer J, Haeb-Umbach R. Aligning training models with smartphone properties in WiFi fingerprinting based indoor localization. In: 40th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2015). ; 2015.' apa: Hoang, M. K., Schmalenstroeer, J., & Haeb-Umbach, R. (2015). Aligning training models with smartphone properties in WiFi fingerprinting based indoor localization. 40th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2015). bibtex: '@inproceedings{Hoang_Schmalenstroeer_Haeb-Umbach_2015, title={Aligning training models with smartphone properties in WiFi fingerprinting based indoor localization}, booktitle={40th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2015)}, author={Hoang, Manh Kha and Schmalenstroeer, Joerg and Haeb-Umbach, Reinhold}, year={2015} }' chicago: Hoang, Manh Kha, Joerg Schmalenstroeer, and Reinhold Haeb-Umbach. “Aligning Training Models with Smartphone Properties in WiFi Fingerprinting Based Indoor Localization.” In 40th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2015), 2015. ieee: M. K. Hoang, J. Schmalenstroeer, and R. Haeb-Umbach, “Aligning training models with smartphone properties in WiFi fingerprinting based indoor localization,” 2015. mla: Hoang, Manh Kha, et al. “Aligning Training Models with Smartphone Properties in WiFi Fingerprinting Based Indoor Localization.” 40th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2015), 2015. short: 'M.K. Hoang, J. Schmalenstroeer, R. Haeb-Umbach, in: 40th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2015), 2015.' date_created: 2019-07-12T05:29:55Z date_updated: 2023-10-26T08:11:43Z department: - _id: '54' language: - iso: eng main_file_link: - open_access: '1' url: https://groups.uni-paderborn.de/nt/pubs/2015/HoSchHa2015.pdf oa: '1' publication: 40th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2015) quality_controlled: '1' status: public title: Aligning training models with smartphone properties in WiFi fingerprinting based indoor localization type: conference user_id: '460' year: '2015' ... --- _id: '11898' abstract: - lang: eng text: Abstract In this paper we present an approach for synchronizing a wireless acoustic sensor network using a two-stage procedure. First the clock frequency and phase differences between pairs of nodes are estimated employing a two-way message exchange protocol. The estimates are further improved in a Kalman filter with a dedicated observation error model. In the second stage network-wide synchronization is achieved by means of a gossiping algorithm which estimates the average clock frequency and phase of the sensor nodes. These averages are viewed as frequency and phase of a virtual master clock, to which the clocks of the sensor nodes have to be adjusted. The amount of adjustment is computed in a specific control loop. While these steps are done in software, the actual sampling rate correction is carried out in hardware by using an adjustable frequency synthesizer. Experimental results obtained from hardware devices and software simulations of large scale networks are presented. author: - first_name: Joerg full_name: Schmalenstroeer, Joerg id: '460' last_name: Schmalenstroeer - first_name: Patrick full_name: Jebramcik, Patrick last_name: Jebramcik - first_name: Reinhold full_name: Haeb-Umbach, Reinhold id: '242' last_name: Haeb-Umbach citation: ama: Schmalenstroeer J, Jebramcik P, Haeb-Umbach R. A combined hardware-software approach for acoustic sensor network synchronization . Signal Processing. 2014;(0). doi:http://dx.doi.org/10.1016/j.sigpro.2014.06.030 apa: Schmalenstroeer, J., Jebramcik, P., & Haeb-Umbach, R. (2014). A combined hardware-software approach for acoustic sensor network synchronization . Signal Processing, 0. http://dx.doi.org/10.1016/j.sigpro.2014.06.030 bibtex: '@article{Schmalenstroeer_Jebramcik_Haeb-Umbach_2014, title={A combined hardware-software approach for acoustic sensor network synchronization }, DOI={http://dx.doi.org/10.1016/j.sigpro.2014.06.030}, number={0}, journal={Signal Processing}, author={Schmalenstroeer, Joerg and Jebramcik, Patrick and Haeb-Umbach, Reinhold}, year={2014} }' chicago: Schmalenstroeer, Joerg, Patrick Jebramcik, and Reinhold Haeb-Umbach. “A Combined Hardware-Software Approach for Acoustic Sensor Network Synchronization .” Signal Processing, no. 0 (2014). http://dx.doi.org/10.1016/j.sigpro.2014.06.030. ieee: 'J. Schmalenstroeer, P. Jebramcik, and R. Haeb-Umbach, “A combined hardware-software approach for acoustic sensor network synchronization ,” Signal Processing, no. 0, p., 2014, doi: http://dx.doi.org/10.1016/j.sigpro.2014.06.030.' mla: Schmalenstroeer, Joerg, et al. “A Combined Hardware-Software Approach for Acoustic Sensor Network Synchronization .” Signal Processing, no. 0, 2014, p., doi:http://dx.doi.org/10.1016/j.sigpro.2014.06.030. short: J. Schmalenstroeer, P. Jebramcik, R. Haeb-Umbach, Signal Processing (2014). date_created: 2019-07-12T05:30:23Z date_updated: 2023-10-26T08:11:22Z department: - _id: '54' doi: http://dx.doi.org/10.1016/j.sigpro.2014.06.030 issue: '0' keyword: - Gossip algorithm language: - iso: eng main_file_link: - open_access: '1' url: http://www.sciencedirect.com/science/article/pii/S0165168414002990 oa: '1' page: ' - ' publication: Signal Processing publication_identifier: issn: - 0165-1684 quality_controlled: '1' status: public title: 'A combined hardware-software approach for acoustic sensor network synchronization ' type: journal_article user_id: '460' year: '2014' ... --- _id: '11897' abstract: - lang: eng text: ' "In this paper we present an approach for synchronizing the sampling clocks of distributed microphones over a wireless network. The proposed system uses a two stage procedure. It first employs a two-way message exchange algorithm to estimate the clock phase and frequency difference between two nodes and then uses a gossiping algorithmto estimate a virtual master clock, to which all sensor nodes synchronize. Simulation results are presented for networks of different topology and size, showing the effectiveness of our approach." ' author: - first_name: Joerg full_name: Schmalenstroeer, Joerg id: '460' last_name: Schmalenstroeer - first_name: Patrick full_name: Jebramcik, Patrick last_name: Jebramcik - first_name: Reinhold full_name: Haeb-Umbach, Reinhold id: '242' last_name: Haeb-Umbach citation: ama: 'Schmalenstroeer J, Jebramcik P, Haeb-Umbach R. A Gossiping Approach to Sampling Clock Synchronization in Wireless Acoustic Sensor Networks. In: 39th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014). ; 2014.' apa: Schmalenstroeer, J., Jebramcik, P., & Haeb-Umbach, R. (2014). A Gossiping Approach to Sampling Clock Synchronization in Wireless Acoustic Sensor Networks. 39th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014). bibtex: '@inproceedings{Schmalenstroeer_Jebramcik_Haeb-Umbach_2014, title={A Gossiping Approach to Sampling Clock Synchronization in Wireless Acoustic Sensor Networks}, booktitle={39th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014)}, author={Schmalenstroeer, Joerg and Jebramcik, Patrick and Haeb-Umbach, Reinhold}, year={2014} }' chicago: Schmalenstroeer, Joerg, Patrick Jebramcik, and Reinhold Haeb-Umbach. “A Gossiping Approach to Sampling Clock Synchronization in Wireless Acoustic Sensor Networks.” In 39th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014), 2014. ieee: J. Schmalenstroeer, P. Jebramcik, and R. Haeb-Umbach, “A Gossiping Approach to Sampling Clock Synchronization in Wireless Acoustic Sensor Networks,” 2014. mla: Schmalenstroeer, Joerg, et al. “A Gossiping Approach to Sampling Clock Synchronization in Wireless Acoustic Sensor Networks.” 39th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014), 2014. short: 'J. Schmalenstroeer, P. Jebramcik, R. Haeb-Umbach, in: 39th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014), 2014.' date_created: 2019-07-12T05:30:22Z date_updated: 2023-10-26T08:11:31Z department: - _id: '54' language: - iso: eng main_file_link: - open_access: '1' url: https://groups.uni-paderborn.de/nt/pubs/2014/SchHae2014.pdf oa: '1' publication: 39th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014) quality_controlled: '1' related_material: link: - description: Poster relation: supplementary_material url: https://groups.uni-paderborn.de/nt/pubs/2014/SchHaebICASSP2014_Poster.pdf status: public title: A Gossiping Approach to Sampling Clock Synchronization in Wireless Acoustic Sensor Networks type: conference user_id: '460' year: '2014' ... --- _id: '11903' abstract: - lang: eng text: '"Acoustic sensor network clock synchronization via time stamp exchange between the sensor nodes is not accurate enough for many acoustic signal processing tasks, such as speaker localization. To improve synchronization accuracy it has therefore been proposed to employ a Kalman Filter to obtain improved frequency deviation and phase offset estimates. The estimation requires a statistical model of the errors of the measurements obtained from the time stamp exchange algorithm. These errors are caused by random transmission delays and hardware effects and are thus network specific. In this contribution we develop an algorithm to estimate the parameters of the measurement error model alongside the Kalman filter based sampling clock synchronization, employing the Expectation Maximization algorithm. Simulation results demonstrate that the online estimation of the error model parameters leads only to a small degradation of the synchronization performance compared to a perfectly known observation error model."' author: - first_name: Joerg full_name: Schmalenstroeer, Joerg id: '460' last_name: Schmalenstroeer - first_name: Weile full_name: Zhao, Weile last_name: Zhao - first_name: Reinhold full_name: Haeb-Umbach, Reinhold id: '242' last_name: Haeb-Umbach citation: ama: 'Schmalenstroeer J, Zhao W, Haeb-Umbach R. Online Observation Error Model Estimation for Acoustic Sensor Network Synchronization. In: 11. ITG Fachtagung Sprachkommunikation (ITG 2014). ; 2014.' apa: Schmalenstroeer, J., Zhao, W., & Haeb-Umbach, R. (2014). Online Observation Error Model Estimation for Acoustic Sensor Network Synchronization. 11. ITG Fachtagung Sprachkommunikation (ITG 2014). bibtex: '@inproceedings{Schmalenstroeer_Zhao_Haeb-Umbach_2014, title={Online Observation Error Model Estimation for Acoustic Sensor Network Synchronization}, booktitle={11. ITG Fachtagung Sprachkommunikation (ITG 2014)}, author={Schmalenstroeer, Joerg and Zhao, Weile and Haeb-Umbach, Reinhold}, year={2014} }' chicago: Schmalenstroeer, Joerg, Weile Zhao, and Reinhold Haeb-Umbach. “Online Observation Error Model Estimation for Acoustic Sensor Network Synchronization.” In 11. ITG Fachtagung Sprachkommunikation (ITG 2014), 2014. ieee: J. Schmalenstroeer, W. Zhao, and R. Haeb-Umbach, “Online Observation Error Model Estimation for Acoustic Sensor Network Synchronization,” 2014. mla: Schmalenstroeer, Joerg, et al. “Online Observation Error Model Estimation for Acoustic Sensor Network Synchronization.” 11. ITG Fachtagung Sprachkommunikation (ITG 2014), 2014. short: 'J. Schmalenstroeer, W. Zhao, R. Haeb-Umbach, in: 11. ITG Fachtagung Sprachkommunikation (ITG 2014), 2014.' date_created: 2019-07-12T05:30:29Z date_updated: 2023-10-26T08:14:00Z department: - _id: '54' language: - iso: eng main_file_link: - open_access: '1' url: https://groups.uni-paderborn.de/nt/pubs/2014/SchHaebITG2014.pdf oa: '1' publication: 11. ITG Fachtagung Sprachkommunikation (ITG 2014) quality_controlled: '1' related_material: link: - description: Poster relation: supplementary_material url: https://groups.uni-paderborn.de/nt/pubs/2014/SchHaebITG2014_Poster.pdf - description: Demo relation: supplementary_material url: https://groups.uni-paderborn.de/nt/pubs/2014/SchHaebITG2014_Demo.pdf status: public title: Online Observation Error Model Estimation for Acoustic Sensor Network Synchronization type: conference user_id: '460' year: '2014' ... --- _id: '11926' abstract: - lang: eng text: In this paper we present a novel initialization method for unsupervised learning of acoustic patterns in recordings of continuous speech. The pattern discovery task is solved by dynamic time warping whose performance we improve by a smart starting point selection. This enables a more accurate discovery of patterns compared to conventional approaches. After graph-based clustering the patterns are employed for training hidden Markov models for an unsupervised speech acquisition. By iterating between model training and decoding in an EM-like framework the word accuracy is continuously improved. On the TIDIGITS corpus we achieve a word error rate of about 13 percent by the proposed unsupervised pattern discovery approach, which neither assumes knowledge of the acoustic units nor of the labels of the training data. author: - first_name: Oliver full_name: Walter, Oliver last_name: Walter - first_name: Joerg full_name: Schmalenstroeer, Joerg id: '460' last_name: Schmalenstroeer - first_name: Reinhold full_name: Haeb-Umbach, Reinhold id: '242' last_name: Haeb-Umbach citation: ama: Walter O, Schmalenstroeer J, Haeb-Umbach R. A Novel Initialization Method for Unsupervised Learning of Acoustic Patterns in Speech (FGNT-2013-01).; 2013. apa: Walter, O., Schmalenstroeer, J., & Haeb-Umbach, R. (2013). A Novel Initialization Method for Unsupervised Learning of Acoustic Patterns in Speech (FGNT-2013-01). bibtex: '@book{Walter_Schmalenstroeer_Haeb-Umbach_2013, title={A Novel Initialization Method for Unsupervised Learning of Acoustic Patterns in Speech (FGNT-2013-01)}, author={Walter, Oliver and Schmalenstroeer, Joerg and Haeb-Umbach, Reinhold}, year={2013} }' chicago: Walter, Oliver, Joerg Schmalenstroeer, and Reinhold Haeb-Umbach. A Novel Initialization Method for Unsupervised Learning of Acoustic Patterns in Speech (FGNT-2013-01), 2013. ieee: O. Walter, J. Schmalenstroeer, and R. Haeb-Umbach, A Novel Initialization Method for Unsupervised Learning of Acoustic Patterns in Speech (FGNT-2013-01). 2013. mla: Walter, Oliver, et al. A Novel Initialization Method for Unsupervised Learning of Acoustic Patterns in Speech (FGNT-2013-01). 2013. short: O. Walter, J. Schmalenstroeer, R. Haeb-Umbach, A Novel Initialization Method for Unsupervised Learning of Acoustic Patterns in Speech (FGNT-2013-01), 2013. date_created: 2019-07-12T05:30:55Z date_updated: 2022-01-06T06:51:12Z department: - _id: '54' language: - iso: eng main_file_link: - open_access: '1' url: https://groups.uni-paderborn.de/nt/pubs/2013/WaScHa2013.pdf oa: '1' status: public title: A Novel Initialization Method for Unsupervised Learning of Acoustic Patterns in Speech (FGNT-2013-01) type: report user_id: '44006' year: '2013' ... --- _id: '11832' abstract: - lang: eng text: In this paper we propose an approach to retrieve the absolute geometry of an acoustic sensor network, consisting of spatially distributed microphone arrays, from reverberant speech input. The calibration relies on direction of arrival measurements of the individual arrays. The proposed calibration algorithm is derived from a maximum-likelihood approach employing circular statistics. Since a sensor node consists of a microphone array with known intra-array geometry, we are able to obtain an absolute geometry estimate, including angles and distances. Simulation results demonstrate the effectiveness of the approach. author: - first_name: Florian full_name: Jacob, Florian last_name: Jacob - first_name: Joerg full_name: Schmalenstroeer, Joerg id: '460' last_name: Schmalenstroeer - first_name: Reinhold full_name: Haeb-Umbach, Reinhold id: '242' last_name: Haeb-Umbach citation: ama: 'Jacob F, Schmalenstroeer J, Haeb-Umbach R. DoA-Based Microphone Array Position Self-Calibration Using Circular Statistic. In: 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013). ; 2013:116-120. doi:10.1109/ICASSP.2013.6637620' apa: Jacob, F., Schmalenstroeer, J., & Haeb-Umbach, R. (2013). DoA-Based Microphone Array Position Self-Calibration Using Circular Statistic. 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013), 116–120. https://doi.org/10.1109/ICASSP.2013.6637620 bibtex: '@inproceedings{Jacob_Schmalenstroeer_Haeb-Umbach_2013, title={DoA-Based Microphone Array Position Self-Calibration Using Circular Statistic}, DOI={10.1109/ICASSP.2013.6637620}, booktitle={38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013)}, author={Jacob, Florian and Schmalenstroeer, Joerg and Haeb-Umbach, Reinhold}, year={2013}, pages={116–120} }' chicago: Jacob, Florian, Joerg Schmalenstroeer, and Reinhold Haeb-Umbach. “DoA-Based Microphone Array Position Self-Calibration Using Circular Statistic.” In 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013), 116–20, 2013. https://doi.org/10.1109/ICASSP.2013.6637620. ieee: 'F. Jacob, J. Schmalenstroeer, and R. Haeb-Umbach, “DoA-Based Microphone Array Position Self-Calibration Using Circular Statistic,” in 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013), 2013, pp. 116–120, doi: 10.1109/ICASSP.2013.6637620.' mla: Jacob, Florian, et al. “DoA-Based Microphone Array Position Self-Calibration Using Circular Statistic.” 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013), 2013, pp. 116–20, doi:10.1109/ICASSP.2013.6637620. short: 'F. Jacob, J. Schmalenstroeer, R. Haeb-Umbach, in: 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013), 2013, pp. 116–120.' date_created: 2019-07-12T05:29:07Z date_updated: 2023-10-26T08:11:12Z department: - _id: '54' doi: 10.1109/ICASSP.2013.6637620 keyword: - Geometry calibration - microphone arrays - position self-calibration language: - iso: eng main_file_link: - open_access: '1' url: https://groups.uni-paderborn.de/nt/pubs/2013/JacSchHae_ICASSP2013_Rev2.pdf oa: '1' page: 116-120 publication: 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013) publication_identifier: issn: - 1520-6149 quality_controlled: '1' related_material: link: - description: Presentation relation: supplementary_material url: https://groups.uni-paderborn.de/nt/pubs/2013/JaScHa13_Presentation.pdf status: public title: DoA-Based Microphone Array Position Self-Calibration Using Circular Statistic type: conference user_id: '460' year: '2013' ... --- _id: '11891' abstract: - lang: eng text: In this paper we present a combined hardware/software approach for synchronizing the sampling clocks of an acoustic sensor network. A first clock frequency offset estimate is obtained by a time stamp exchange protocol with a low data rate and computational requirements. The estimate is then postprocessed by a Kalman filter which exploits the specific properties of the statistics of the frequency offset estimation error. In long term experiments the deviation between the sampling oscillators of two sensor nodes never exceeded half a sample with a wired and with a wireless link between the nodes. The achieved precision enables the estimation of time difference of arrival values across different hardware devices without sharing a common sampling hardware. author: - first_name: Joerg full_name: Schmalenstroeer, Joerg id: '460' last_name: Schmalenstroeer - first_name: Reinhold full_name: Haeb-Umbach, Reinhold id: '242' last_name: Haeb-Umbach citation: ama: 'Schmalenstroeer J, Haeb-Umbach R. Sampling Rate Synchronisation in Acoustic Sensor Networks with a Pre-Trained Clock Skew Error Model. In: 21th European Signal Processing Conference (EUSIPCO 2013). ; 2013.' apa: Schmalenstroeer, J., & Haeb-Umbach, R. (2013). Sampling Rate Synchronisation in Acoustic Sensor Networks with a Pre-Trained Clock Skew Error Model. 21th European Signal Processing Conference (EUSIPCO 2013). bibtex: '@inproceedings{Schmalenstroeer_Haeb-Umbach_2013, title={Sampling Rate Synchronisation in Acoustic Sensor Networks with a Pre-Trained Clock Skew Error Model}, booktitle={21th European Signal Processing Conference (EUSIPCO 2013)}, author={Schmalenstroeer, Joerg and Haeb-Umbach, Reinhold}, year={2013} }' chicago: Schmalenstroeer, Joerg, and Reinhold Haeb-Umbach. “Sampling Rate Synchronisation in Acoustic Sensor Networks with a Pre-Trained Clock Skew Error Model.” In 21th European Signal Processing Conference (EUSIPCO 2013), 2013. ieee: J. Schmalenstroeer and R. Haeb-Umbach, “Sampling Rate Synchronisation in Acoustic Sensor Networks with a Pre-Trained Clock Skew Error Model,” 2013. mla: Schmalenstroeer, Joerg, and Reinhold Haeb-Umbach. “Sampling Rate Synchronisation in Acoustic Sensor Networks with a Pre-Trained Clock Skew Error Model.” 21th European Signal Processing Conference (EUSIPCO 2013), 2013. short: 'J. Schmalenstroeer, R. Haeb-Umbach, in: 21th European Signal Processing Conference (EUSIPCO 2013), 2013.' date_created: 2019-07-12T05:30:15Z date_updated: 2023-10-26T08:11:01Z department: - _id: '54' keyword: - synchronization - acoustic sensor network language: - iso: eng main_file_link: - open_access: '1' url: https://groups.uni-paderborn.de/nt/pubs/2013/SchHaeb2013.pdf oa: '1' publication: 21th European Signal Processing Conference (EUSIPCO 2013) quality_controlled: '1' related_material: link: - description: Presentation relation: supplementary_material url: https://groups.uni-paderborn.de/nt/pubs/2013/SchHaeb2013_Presentation.pdf status: public title: Sampling Rate Synchronisation in Acoustic Sensor Networks with a Pre-Trained Clock Skew Error Model type: conference user_id: '460' year: '2013' ... --- _id: '11818' abstract: - lang: eng text: In this paper we present a system for indoor navigation based on received signal strength index information of Wireless-LAN access points and relative position estimates. The relative position information is gathered from inertial smartphone sensors using a step detection and an orientation estimate. Our map data is hosted on a server employing a map renderer and a SQL database. The database includes a complete multilevel office building, within which the user can navigate. During navigation, the client retrieves the position estimate from the server, together with the corresponding map tiles to visualize the user's position on the smartphone display. author: - first_name: Manh Kha full_name: Hoang, Manh Kha last_name: Hoang - first_name: Sarah full_name: Schmitz, Sarah last_name: Schmitz - first_name: Christian full_name: Drueke, Christian last_name: Drueke - first_name: Dang Hai Tran full_name: Vu, Dang Hai Tran last_name: Vu - first_name: Joerg full_name: Schmalenstroeer, Joerg id: '460' last_name: Schmalenstroeer - first_name: Reinhold full_name: Haeb-Umbach, Reinhold id: '242' last_name: Haeb-Umbach citation: ama: 'Hoang MK, Schmitz S, Drueke C, Vu DHT, Schmalenstroeer J, Haeb-Umbach R. Server based indoor navigation using RSSI and inertial sensor information. In: Positioning Navigation and Communication (WPNC), 2013 10th Workshop On. ; 2013:1-6. doi:10.1109/WPNC.2013.6533263' apa: Hoang, M. K., Schmitz, S., Drueke, C., Vu, D. H. T., Schmalenstroeer, J., & Haeb-Umbach, R. (2013). Server based indoor navigation using RSSI and inertial sensor information. Positioning Navigation and Communication (WPNC), 2013 10th Workshop On, 1–6. https://doi.org/10.1109/WPNC.2013.6533263 bibtex: '@inproceedings{Hoang_Schmitz_Drueke_Vu_Schmalenstroeer_Haeb-Umbach_2013, title={Server based indoor navigation using RSSI and inertial sensor information}, DOI={10.1109/WPNC.2013.6533263}, booktitle={Positioning Navigation and Communication (WPNC), 2013 10th Workshop on}, author={Hoang, Manh Kha and Schmitz, Sarah and Drueke, Christian and Vu, Dang Hai Tran and Schmalenstroeer, Joerg and Haeb-Umbach, Reinhold}, year={2013}, pages={1–6} }' chicago: Hoang, Manh Kha, Sarah Schmitz, Christian Drueke, Dang Hai Tran Vu, Joerg Schmalenstroeer, and Reinhold Haeb-Umbach. “Server Based Indoor Navigation Using RSSI and Inertial Sensor Information.” In Positioning Navigation and Communication (WPNC), 2013 10th Workshop On, 1–6, 2013. https://doi.org/10.1109/WPNC.2013.6533263. ieee: 'M. K. Hoang, S. Schmitz, C. Drueke, D. H. T. Vu, J. Schmalenstroeer, and R. Haeb-Umbach, “Server based indoor navigation using RSSI and inertial sensor information,” in Positioning Navigation and Communication (WPNC), 2013 10th Workshop on, 2013, pp. 1–6, doi: 10.1109/WPNC.2013.6533263.' mla: Hoang, Manh Kha, et al. “Server Based Indoor Navigation Using RSSI and Inertial Sensor Information.” Positioning Navigation and Communication (WPNC), 2013 10th Workshop On, 2013, pp. 1–6, doi:10.1109/WPNC.2013.6533263. short: 'M.K. Hoang, S. Schmitz, C. Drueke, D.H.T. Vu, J. Schmalenstroeer, R. Haeb-Umbach, in: Positioning Navigation and Communication (WPNC), 2013 10th Workshop On, 2013, pp. 1–6.' date_created: 2019-07-12T05:28:51Z date_updated: 2023-10-26T08:09:36Z department: - _id: '54' doi: 10.1109/WPNC.2013.6533263 keyword: - SQL - navigation - smart phones - wireless LAN - RSSI - SQL database - complete multilevel office building - inertial sensor information - inertial smartphone sensors - map renderer - received signal strength index information - relative position estimates - server based indoor navigation - step detection - wireless-LAN access points - Smartphone - fingerprint - indoor navigation - map tile language: - iso: eng main_file_link: - open_access: '1' url: https://groups.uni-paderborn.de/nt/pubs/2013/HoScDrTrScHa2013.pdf oa: '1' page: 1-6 publication: Positioning Navigation and Communication (WPNC), 2013 10th Workshop on quality_controlled: '1' related_material: link: - description: Poster relation: supplementary_material url: https://groups.uni-paderborn.de/nt/pubs/2013/HoScDrTrScHa2013_Poster.pdf status: public title: Server based indoor navigation using RSSI and inertial sensor information type: conference user_id: '460' year: '2013' ... --- _id: '11817' abstract: - lang: eng text: In this paper we present a modified hidden Markov model (HMM) for the fusion of received signal strength index (RSSI) information of WiFi access points and relative position information which is obtained from the inertial sensors of a smartphone for indoor positioning. Since the states of the HMM represent the potential user locations, their number determines the quantization error introduced by discretizing the allowable user positions through the use of the HMM. To reduce this quantization error we introduce â??pseudoâ?? states, whose emission probability, which models the RSSI measurements at this location, is synthesized from those of the neighboring states of which a Gaussian emission probability has been estimated during the training phase. The experimental results demonstrate the effectiveness of this approach. By introducing on average two pseudo states per original HMM state the positioning error could be significantly reduced without increasing the training effort. author: - first_name: Manh Kha full_name: Hoang, Manh Kha last_name: Hoang - first_name: Joerg full_name: Schmalenstroeer, Joerg id: '460' last_name: Schmalenstroeer - first_name: Christian full_name: Drueke, Christian last_name: Drueke - first_name: Dang Hai full_name: Tran Vu, Dang Hai last_name: Tran Vu - first_name: Reinhold full_name: Haeb-Umbach, Reinhold id: '242' last_name: Haeb-Umbach citation: ama: 'Hoang MK, Schmalenstroeer J, Drueke C, Tran Vu DH, Haeb-Umbach R. A Hidden Markov Model for Indoor User Tracking Based on WiFi Fingerprinting and Step Detection. In: 21th European Signal Processing Conference (EUSIPCO 2013). ; 2013.' apa: Hoang, M. K., Schmalenstroeer, J., Drueke, C., Tran Vu, D. H., & Haeb-Umbach, R. (2013). A Hidden Markov Model for Indoor User Tracking Based on WiFi Fingerprinting and Step Detection. 21th European Signal Processing Conference (EUSIPCO 2013). bibtex: '@inproceedings{Hoang_Schmalenstroeer_Drueke_Tran Vu_Haeb-Umbach_2013, title={A Hidden Markov Model for Indoor User Tracking Based on WiFi Fingerprinting and Step Detection}, booktitle={21th European Signal Processing Conference (EUSIPCO 2013)}, author={Hoang, Manh Kha and Schmalenstroeer, Joerg and Drueke, Christian and Tran Vu, Dang Hai and Haeb-Umbach, Reinhold}, year={2013} }' chicago: Hoang, Manh Kha, Joerg Schmalenstroeer, Christian Drueke, Dang Hai Tran Vu, and Reinhold Haeb-Umbach. “A Hidden Markov Model for Indoor User Tracking Based on WiFi Fingerprinting and Step Detection.” In 21th European Signal Processing Conference (EUSIPCO 2013), 2013. ieee: M. K. Hoang, J. Schmalenstroeer, C. Drueke, D. H. Tran Vu, and R. Haeb-Umbach, “A Hidden Markov Model for Indoor User Tracking Based on WiFi Fingerprinting and Step Detection,” 2013. mla: Hoang, Manh Kha, et al. “A Hidden Markov Model for Indoor User Tracking Based on WiFi Fingerprinting and Step Detection.” 21th European Signal Processing Conference (EUSIPCO 2013), 2013. short: 'M.K. Hoang, J. Schmalenstroeer, C. Drueke, D.H. Tran Vu, R. Haeb-Umbach, in: 21th European Signal Processing Conference (EUSIPCO 2013), 2013.' date_created: 2019-07-12T05:28:50Z date_updated: 2023-10-26T08:09:45Z department: - _id: '54' language: - iso: eng main_file_link: - open_access: '1' url: https://groups.uni-paderborn.de/nt/pubs/2013/HoScDrTrHa2013.pdf oa: '1' publication: 21th European Signal Processing Conference (EUSIPCO 2013) quality_controlled: '1' related_material: link: - description: Poster relation: supplementary_material url: https://groups.uni-paderborn.de/nt/pubs/2013/HoScDrTrHa2013_Poster.pdf status: public title: A Hidden Markov Model for Indoor User Tracking Based on WiFi Fingerprinting and Step Detection type: conference user_id: '460' year: '2013' ... --- _id: '11833' abstract: - lang: eng text: In this paper we propose an approach to retrieve the geometry of an acoustic sensor network consisting of spatially distributed microphone arrays from unconstrained speech input. The calibration relies on Direction of Arrival (DoA) measurements which do not require a clock synchronization among the sensor nodes. The calibration problem is formulated as a cost function optimization task, which minimizes the squared differences between measured and predicted observations and additionally avoids the existence of minima that correspond to mirrored versions of the actual sensor orientations. Further, outlier measurements caused by reverberation are mitigated by a Random Sample Consensus (RANSAC) approach. The experimental results show a mean positioning error of at most 25 cm even in highly reverberant environments. author: - first_name: Florian full_name: Jacob, Florian last_name: Jacob - first_name: Joerg full_name: Schmalenstroeer, Joerg id: '460' last_name: Schmalenstroeer - first_name: Reinhold full_name: Haeb-Umbach, Reinhold id: '242' last_name: Haeb-Umbach citation: ama: 'Jacob F, Schmalenstroeer J, Haeb-Umbach R. Microphone Array Position Self-Calibration from Reverberant Speech Input. In: International Workshop on Acoustic Signal Enhancement (IWAENC 2012). ; 2012.' apa: Jacob, F., Schmalenstroeer, J., & Haeb-Umbach, R. (2012). Microphone Array Position Self-Calibration from Reverberant Speech Input. International Workshop on Acoustic Signal Enhancement (IWAENC 2012). bibtex: '@inproceedings{Jacob_Schmalenstroeer_Haeb-Umbach_2012, title={Microphone Array Position Self-Calibration from Reverberant Speech Input}, booktitle={International Workshop on Acoustic Signal Enhancement (IWAENC 2012)}, author={Jacob, Florian and Schmalenstroeer, Joerg and Haeb-Umbach, Reinhold}, year={2012} }' chicago: Jacob, Florian, Joerg Schmalenstroeer, and Reinhold Haeb-Umbach. “Microphone Array Position Self-Calibration from Reverberant Speech Input.” In International Workshop on Acoustic Signal Enhancement (IWAENC 2012), 2012. ieee: F. Jacob, J. Schmalenstroeer, and R. Haeb-Umbach, “Microphone Array Position Self-Calibration from Reverberant Speech Input,” 2012. mla: Jacob, Florian, et al. “Microphone Array Position Self-Calibration from Reverberant Speech Input.” International Workshop on Acoustic Signal Enhancement (IWAENC 2012), 2012. short: 'F. Jacob, J. Schmalenstroeer, R. Haeb-Umbach, in: International Workshop on Acoustic Signal Enhancement (IWAENC 2012), 2012.' date_created: 2019-07-12T05:29:08Z date_updated: 2023-10-26T08:10:52Z department: - _id: '54' keyword: - Unsupervised - geometry calibration - microphone arrays - position self-calibration language: - iso: eng main_file_link: - open_access: '1' url: https://groups.uni-paderborn.de/nt/pubs/2012/JaScHa12.pdf oa: '1' publication: International Workshop on Acoustic Signal Enhancement (IWAENC 2012) quality_controlled: '1' related_material: link: - description: Video relation: supplementary_material url: https://groups.uni-paderborn.de/nt/pubs/2012/Microphine_Array_Position_Self-Calibration_from_Reverberant_Speech_Input.mp4 - description: Poster relation: supplementary_material url: https://groups.uni-paderborn.de/nt/pubs/2012/JaScHa12_Poster.pdf - description: Demonstrator relation: supplementary_material url: https://groups.uni-paderborn.de/nt/pubs/2012/JaScHa12_Demonstrator.pdf status: public title: Microphone Array Position Self-Calibration from Reverberant Speech Input type: conference user_id: '460' year: '2012' ... --- _id: '11925' abstract: - lang: eng text: In this paper we present a system for car navigation by fusing sensor data on an Android smartphone. The key idea is to use both the internal sensors of the smartphone (e.g., gyroscope) and sensor data from the car (e.g., speed information) to support navigation via GPS. To this end we employ a CAN-Bus-to-Bluetooth adapter to establish a wireless connection between the smartphone and the CAN-Bus of the car. On the smartphone a strapdown algorithm and an error-state Kalman filter are used to fuse the different sensor data streams. The experimental results show that the system is able to maintain higher positioning accuracy during GPS dropouts, thus improving the availability and reliability, compared to GPS-only solutions. author: - first_name: Oliver full_name: Walter, Oliver last_name: Walter - first_name: Joerg full_name: Schmalenstroeer, Joerg id: '460' last_name: Schmalenstroeer - first_name: Andreas full_name: Engler, Andreas last_name: Engler - first_name: Reinhold full_name: Haeb-Umbach, Reinhold id: '242' last_name: Haeb-Umbach citation: ama: 'Walter O, Schmalenstroeer J, Engler A, Haeb-Umbach R. Smartphone-Based Sensor Fusion for Improved Vehicular Navigation. In: 9th Workshop on Positioning Navigation and Communication (WPNC 2012). ; 2012.' apa: Walter, O., Schmalenstroeer, J., Engler, A., & Haeb-Umbach, R. (2012). Smartphone-Based Sensor Fusion for Improved Vehicular Navigation. 9th Workshop on Positioning Navigation and Communication (WPNC 2012). bibtex: '@inproceedings{Walter_Schmalenstroeer_Engler_Haeb-Umbach_2012, title={Smartphone-Based Sensor Fusion for Improved Vehicular Navigation}, booktitle={9th Workshop on Positioning Navigation and Communication (WPNC 2012)}, author={Walter, Oliver and Schmalenstroeer, Joerg and Engler, Andreas and Haeb-Umbach, Reinhold}, year={2012} }' chicago: Walter, Oliver, Joerg Schmalenstroeer, Andreas Engler, and Reinhold Haeb-Umbach. “Smartphone-Based Sensor Fusion for Improved Vehicular Navigation.” In 9th Workshop on Positioning Navigation and Communication (WPNC 2012), 2012. ieee: O. Walter, J. Schmalenstroeer, A. Engler, and R. Haeb-Umbach, “Smartphone-Based Sensor Fusion for Improved Vehicular Navigation,” 2012. mla: Walter, Oliver, et al. “Smartphone-Based Sensor Fusion for Improved Vehicular Navigation.” 9th Workshop on Positioning Navigation and Communication (WPNC 2012), 2012. short: 'O. Walter, J. Schmalenstroeer, A. Engler, R. Haeb-Umbach, in: 9th Workshop on Positioning Navigation and Communication (WPNC 2012), 2012.' date_created: 2019-07-12T05:30:54Z date_updated: 2023-10-26T08:13:27Z department: - _id: '54' keyword: - Smartphone - navigation - sensor fusion language: - iso: eng main_file_link: - open_access: '1' url: https://groups.uni-paderborn.de/nt/pubs/2012/WaScEnHa12.pdf oa: '1' publication: 9th Workshop on Positioning Navigation and Communication (WPNC 2012) quality_controlled: '1' status: public title: Smartphone-Based Sensor Fusion for Improved Vehicular Navigation type: conference user_id: '460' year: '2012' ... --- _id: '11889' abstract: - lang: eng text: In this paper we propose to jointly consider Segmental Dynamic Time Warping and distance clustering for the unsupervised learning of acoustic events. As a result, the computational complexity increases only linearly with the dababase size compared to a quadratic increase in a sequential setup, where all pairwise SDTW distances between segments are computed prior to clustering. Further, we discuss options for seed value selection for clustering and show that drawing seeds with a probability proportional to the distance from the already drawn seeds, known as K-means++ clustering, results in a significantly higher probability of finding representatives of each of the underlying classes, compared to the commonly used draws from a uniform distribution. Experiments are performed on an acoustic event classification and an isolated digit recognition task, where on the latter the final word accuracy approaches that of supervised training. author: - first_name: Joerg full_name: Schmalenstroeer, Joerg id: '460' last_name: Schmalenstroeer - first_name: Markus full_name: Bartek, Markus last_name: Bartek - first_name: Reinhold full_name: Haeb-Umbach, Reinhold id: '242' last_name: Haeb-Umbach citation: ama: 'Schmalenstroeer J, Bartek M, Haeb-Umbach R. Unsupervised learning of acoustic events using dynamic time warping and hierarchical K-means++ clustering. In: Interspeech 2011. ; 2011.' apa: Schmalenstroeer, J., Bartek, M., & Haeb-Umbach, R. (2011). Unsupervised learning of acoustic events using dynamic time warping and hierarchical K-means++ clustering. Interspeech 2011. bibtex: '@inproceedings{Schmalenstroeer_Bartek_Haeb-Umbach_2011, title={Unsupervised learning of acoustic events using dynamic time warping and hierarchical K-means++ clustering}, booktitle={Interspeech 2011}, author={Schmalenstroeer, Joerg and Bartek, Markus and Haeb-Umbach, Reinhold}, year={2011} }' chicago: Schmalenstroeer, Joerg, Markus Bartek, and Reinhold Haeb-Umbach. “Unsupervised Learning of Acoustic Events Using Dynamic Time Warping and Hierarchical K-Means++ Clustering.” In Interspeech 2011, 2011. ieee: J. Schmalenstroeer, M. Bartek, and R. Haeb-Umbach, “Unsupervised learning of acoustic events using dynamic time warping and hierarchical K-means++ clustering,” 2011. mla: Schmalenstroeer, Joerg, et al. “Unsupervised Learning of Acoustic Events Using Dynamic Time Warping and Hierarchical K-Means++ Clustering.” Interspeech 2011, 2011. short: 'J. Schmalenstroeer, M. Bartek, R. Haeb-Umbach, in: Interspeech 2011, 2011.' date_created: 2019-07-12T05:30:13Z date_updated: 2023-10-26T08:10:44Z department: - _id: '54' language: - iso: eng main_file_link: - open_access: '1' url: https://groups.uni-paderborn.de/nt/pubs/2011/ScBaHa11-2.pdf oa: '1' publication: Interspeech 2011 quality_controlled: '1' status: public title: Unsupervised learning of acoustic events using dynamic time warping and hierarchical K-means++ clustering type: conference user_id: '460' year: '2011' ... --- _id: '11896' abstract: - lang: eng text: In this paper we propose a procedure for estimating the geometric configuration of an arbitrary acoustic sensor placement. It determines the position and the orientation of microphone arrays in 2D while locating a source by direction-of-arrival (DoA) estimation. Neither artificial calibration signals nor unnatural user activity are required. The problem of scale indeterminacy inherent to DoA-only observations is solved by adding time difference of arrival (TDOA) measurements. The geometry calibration method is numerically stable and delivers precise results in moderately reverberated rooms. Simulation results are confirmed by laboratory experiments. author: - first_name: Joerg full_name: Schmalenstroeer, Joerg id: '460' last_name: Schmalenstroeer - first_name: Florian full_name: Jacob, Florian last_name: Jacob - first_name: Reinhold full_name: Haeb-Umbach, Reinhold id: '242' last_name: Haeb-Umbach - first_name: Marius full_name: Hennecke, Marius last_name: Hennecke - first_name: Gernot A. full_name: Fink, Gernot A. last_name: Fink citation: ama: 'Schmalenstroeer J, Jacob F, Haeb-Umbach R, Hennecke M, Fink GA. Unsupervised Geometry Calibration of Acoustic Sensor Networks Using Source Correspondences. In: Interspeech 2011. ; 2011.' apa: Schmalenstroeer, J., Jacob, F., Haeb-Umbach, R., Hennecke, M., & Fink, G. A. (2011). Unsupervised Geometry Calibration of Acoustic Sensor Networks Using Source Correspondences. Interspeech 2011. bibtex: '@inproceedings{Schmalenstroeer_Jacob_Haeb-Umbach_Hennecke_Fink_2011, title={Unsupervised Geometry Calibration of Acoustic Sensor Networks Using Source Correspondences}, booktitle={Interspeech 2011}, author={Schmalenstroeer, Joerg and Jacob, Florian and Haeb-Umbach, Reinhold and Hennecke, Marius and Fink, Gernot A.}, year={2011} }' chicago: Schmalenstroeer, Joerg, Florian Jacob, Reinhold Haeb-Umbach, Marius Hennecke, and Gernot A. Fink. “Unsupervised Geometry Calibration of Acoustic Sensor Networks Using Source Correspondences.” In Interspeech 2011, 2011. ieee: J. Schmalenstroeer, F. Jacob, R. Haeb-Umbach, M. Hennecke, and G. A. Fink, “Unsupervised Geometry Calibration of Acoustic Sensor Networks Using Source Correspondences,” 2011. mla: Schmalenstroeer, Joerg, et al. “Unsupervised Geometry Calibration of Acoustic Sensor Networks Using Source Correspondences.” Interspeech 2011, 2011. short: 'J. Schmalenstroeer, F. Jacob, R. Haeb-Umbach, M. Hennecke, G.A. Fink, in: Interspeech 2011, 2011.' date_created: 2019-07-12T05:30:21Z date_updated: 2023-10-26T08:10:28Z department: - _id: '54' language: - iso: eng main_file_link: - open_access: '1' url: https://groups.uni-paderborn.de/nt/pubs/2011/ScJaHaHeFi11.pdf oa: '1' publication: Interspeech 2011 quality_controlled: '1' status: public title: Unsupervised Geometry Calibration of Acoustic Sensor Networks Using Source Correspondences type: conference user_id: '460' year: '2011' ... --- _id: '9456' abstract: - lang: eng text: In this paper we present our experimental results about classifying audio data into broad acoustic categories. The reverberated sound samples from indoor recordings are grouped into four classes, namely speech, music, acoustic events and noise. We investigated a total of 188 acoustic features and achieved for the best configuration a classification accuracy better than 98\%. This was achieved by a 42-dimensional feature vector consisting of Mel-Frequency Cepstral Coefficients, an autocorrelation feature and so-called track features that measure the length of ''traces'' of high energy in the spectrogram. We also found a 4-feature configuration with a classification rate of about 90\% allowing for broad acoustic category classification with low computational effort. author: - first_name: Joerg full_name: Schmalenstroeer, Joerg id: '460' last_name: Schmalenstroeer - first_name: Markus full_name: Bartek, Markus last_name: Bartek - first_name: Reinhold full_name: Haeb-Umbach, Reinhold id: '242' last_name: Haeb-Umbach citation: ama: 'Schmalenstroeer J, Bartek M, Haeb-Umbach R. Investigations into Features for Robust Classification into Broad Acoustic Categories. In: 37. Deutsche Jahrestagung Fuer Akustik (DAGA 2011). ; 2011.' apa: Schmalenstroeer, J., Bartek, M., & Haeb-Umbach, R. (2011). Investigations into Features for Robust Classification into Broad Acoustic Categories. 37. Deutsche Jahrestagung Fuer Akustik (DAGA 2011). bibtex: '@inproceedings{Schmalenstroeer_Bartek_Haeb-Umbach_2011, title={Investigations into Features for Robust Classification into Broad Acoustic Categories}, booktitle={37. Deutsche Jahrestagung fuer Akustik (DAGA 2011)}, author={Schmalenstroeer, Joerg and Bartek, Markus and Haeb-Umbach, Reinhold}, year={2011} }' chicago: Schmalenstroeer, Joerg, Markus Bartek, and Reinhold Haeb-Umbach. “Investigations into Features for Robust Classification into Broad Acoustic Categories.” In 37. Deutsche Jahrestagung Fuer Akustik (DAGA 2011), 2011. ieee: J. Schmalenstroeer, M. Bartek, and R. Haeb-Umbach, “Investigations into Features for Robust Classification into Broad Acoustic Categories,” 2011. mla: Schmalenstroeer, Joerg, et al. “Investigations into Features for Robust Classification into Broad Acoustic Categories.” 37. Deutsche Jahrestagung Fuer Akustik (DAGA 2011), 2011. short: 'J. Schmalenstroeer, M. Bartek, R. Haeb-Umbach, in: 37. Deutsche Jahrestagung Fuer Akustik (DAGA 2011), 2011.' date_created: 2019-04-25T14:36:02Z date_updated: 2023-10-26T08:15:44Z department: - _id: '54' language: - iso: eng main_file_link: - open_access: '1' url: https://groups.uni-paderborn.de/nt/pubs/2011/ScBaHa11-1.pdf oa: '1' publication: 37. Deutsche Jahrestagung fuer Akustik (DAGA 2011) quality_controlled: '1' status: public title: Investigations into Features for Robust Classification into Broad Acoustic Categories type: conference user_id: '460' year: '2011' ... --- _id: '11892' abstract: - lang: eng text: For an environment to be perceived as being smart, contextual information has to be gathered to adapt the system's behavior and its interface towards the user. Being a rich source of context information speech can be acquired unobtrusively by microphone arrays and then processed to extract information about the user and his environment. In this paper, a system for joint temporal segmentation, speaker localization, and identification is presented, which is supported by face identification from video data obtained from a steerable camera. Special attention is paid to latency aspects and online processing capabilities, as they are important for the application under investigation, namely ambient communication. It describes the vision of terminal-less, session-less and multi-modal telecommunication with remote partners, where the user can move freely within his home while the communication follows him. The speaker diarization serves as a context source, which has been integrated in a service-oriented middleware architecture and provided to the application to select the most appropriate I/O device and to steer the camera towards the speaker during ambient communication. author: - first_name: Joerg full_name: Schmalenstroeer, Joerg id: '460' last_name: Schmalenstroeer - first_name: Reinhold full_name: Haeb-Umbach, Reinhold id: '242' last_name: Haeb-Umbach citation: ama: Schmalenstroeer J, Haeb-Umbach R. Online Diarization of Streaming Audio-Visual Data for Smart Environments. IEEE Journal of Selected Topics in Signal Processing. 2010;4(5):845-856. doi:10.1109/JSTSP.2010.2050519 apa: Schmalenstroeer, J., & Haeb-Umbach, R. (2010). Online Diarization of Streaming Audio-Visual Data for Smart Environments. IEEE Journal of Selected Topics in Signal Processing, 4(5), 845–856. https://doi.org/10.1109/JSTSP.2010.2050519 bibtex: '@article{Schmalenstroeer_Haeb-Umbach_2010, title={Online Diarization of Streaming Audio-Visual Data for Smart Environments}, volume={4}, DOI={10.1109/JSTSP.2010.2050519}, number={5}, journal={IEEE Journal of Selected Topics in Signal Processing}, author={Schmalenstroeer, Joerg and Haeb-Umbach, Reinhold}, year={2010}, pages={845–856} }' chicago: 'Schmalenstroeer, Joerg, and Reinhold Haeb-Umbach. “Online Diarization of Streaming Audio-Visual Data for Smart Environments.” IEEE Journal of Selected Topics in Signal Processing 4, no. 5 (2010): 845–56. https://doi.org/10.1109/JSTSP.2010.2050519.' ieee: 'J. Schmalenstroeer and R. Haeb-Umbach, “Online Diarization of Streaming Audio-Visual Data for Smart Environments,” IEEE Journal of Selected Topics in Signal Processing, vol. 4, no. 5, pp. 845–856, 2010, doi: 10.1109/JSTSP.2010.2050519.' mla: Schmalenstroeer, Joerg, and Reinhold Haeb-Umbach. “Online Diarization of Streaming Audio-Visual Data for Smart Environments.” IEEE Journal of Selected Topics in Signal Processing, vol. 4, no. 5, 2010, pp. 845–56, doi:10.1109/JSTSP.2010.2050519. short: J. Schmalenstroeer, R. Haeb-Umbach, IEEE Journal of Selected Topics in Signal Processing 4 (2010) 845–856. date_created: 2019-07-12T05:30:16Z date_updated: 2023-10-26T08:10:18Z department: - _id: '54' doi: 10.1109/JSTSP.2010.2050519 intvolume: ' 4' issue: '5' keyword: - audio streaming - audio visual data streaming - context information speech - face identification - face recognition - image segmentation - middleware - multimodal telecommunication - online diarization - service oriented middleware architecture - sessionless telecommunication - software architecture - speaker identification - speaker localization - speaker recognition - steerable camera - telecommunication computing - temporal segmentation - terminal-less telecommunication - video streaming language: - iso: eng main_file_link: - open_access: '1' url: https://groups.uni-paderborn.de/nt/pubs/2010/ScHa10.pdf oa: '1' page: 845-856 publication: IEEE Journal of Selected Topics in Signal Processing quality_controlled: '1' status: public title: Online Diarization of Streaming Audio-Visual Data for Smart Environments type: journal_article user_id: '460' volume: 4 year: '2010' ... --- _id: '11900' author: - first_name: Joerg full_name: Schmalenstroeer, Joerg id: '460' last_name: Schmalenstroeer - first_name: Volker full_name: Leutnant, Volker last_name: Leutnant - first_name: Reinhold full_name: Haeb-Umbach, Reinhold id: '242' last_name: Haeb-Umbach citation: ama: 'Schmalenstroeer J, Leutnant V, Haeb-Umbach R. Audio-Visual Data Processing for Ambient Communication. In: 1st International Workshop on Distributed Computing in Ambient Environments within 32nd Annual Conference on Artificial Intelligence. ; 2009.' apa: Schmalenstroeer, J., Leutnant, V., & Haeb-Umbach, R. (2009). Audio-Visual Data Processing for Ambient Communication. 1st International Workshop on Distributed Computing in Ambient Environments within 32nd Annual Conference on Artificial Intelligence. bibtex: '@inproceedings{Schmalenstroeer_Leutnant_Haeb-Umbach_2009, title={Audio-Visual Data Processing for Ambient Communication}, booktitle={1st International Workshop on Distributed Computing in Ambient Environments within 32nd Annual Conference on Artificial Intelligence}, author={Schmalenstroeer, Joerg and Leutnant, Volker and Haeb-Umbach, Reinhold}, year={2009} }' chicago: Schmalenstroeer, Joerg, Volker Leutnant, and Reinhold Haeb-Umbach. “Audio-Visual Data Processing for Ambient Communication.” In 1st International Workshop on Distributed Computing in Ambient Environments within 32nd Annual Conference on Artificial Intelligence, 2009. ieee: J. Schmalenstroeer, V. Leutnant, and R. Haeb-Umbach, “Audio-Visual Data Processing for Ambient Communication,” 2009. mla: Schmalenstroeer, Joerg, et al. “Audio-Visual Data Processing for Ambient Communication.” 1st International Workshop on Distributed Computing in Ambient Environments within 32nd Annual Conference on Artificial Intelligence, 2009. short: 'J. Schmalenstroeer, V. Leutnant, R. Haeb-Umbach, in: 1st International Workshop on Distributed Computing in Ambient Environments within 32nd Annual Conference on Artificial Intelligence, 2009.' date_created: 2019-07-12T05:30:25Z date_updated: 2023-11-15T15:03:08Z ddc: - '004' department: - _id: '54' file: - access_level: open_access content_type: application/pdf creator: schmalen date_created: 2023-11-15T15:02:34Z date_updated: 2023-11-15T15:02:34Z file_id: '48934' file_name: SchLeuHae09.pdf file_size: 98062 relation: main_file file_date_updated: 2023-11-15T15:02:34Z has_accepted_license: '1' language: - iso: eng oa: '1' publication: 1st International Workshop on Distributed Computing in Ambient Environments within 32nd Annual Conference on Artificial Intelligence quality_controlled: '1' status: public title: Audio-Visual Data Processing for Ambient Communication type: conference user_id: '460' year: '2009' ... --- _id: '11806' abstract: - lang: eng text: Microphone arrays represent the basis for many challenging acoustic sensing tasks. The accuracy of techniques like beamforming directly depends on a precise knowledge of the relative positions of the sensors used. Unfortunately, for certain use cases manually measuring the geometry of an array is not feasible due to practical constraints. In this paper we present an approach to unsupervised shape calibration of microphone array networks. We developed a hierarchical procedure that first performs local shape calibration based on coherence analysis and then employs SRP-PHAT in a network calibration method. Practical experiments demonstrate the effectiveness of our approach especially for highly reverberant acoustic environments. author: - first_name: Marius full_name: Hennecke, Marius last_name: Hennecke - first_name: Thomas full_name: Ploetz, Thomas last_name: Ploetz - first_name: Gernot A. full_name: Fink, Gernot A. last_name: Fink - first_name: Joerg full_name: Schmalenstroeer, Joerg id: '460' last_name: Schmalenstroeer - first_name: Reinhold full_name: Haeb-Umbach, Reinhold id: '242' last_name: Haeb-Umbach citation: ama: 'Hennecke M, Ploetz T, Fink GA, Schmalenstroeer J, Haeb-Umbach R. A hierarchical approach to unsupervised shape calibration of microphone array networks. In: IEEE/SP 15th Workshop on Statistical Signal Processing (SSP 2009). ; 2009:257-260. doi:10.1109/SSP.2009.5278589' apa: Hennecke, M., Ploetz, T., Fink, G. A., Schmalenstroeer, J., & Haeb-Umbach, R. (2009). A hierarchical approach to unsupervised shape calibration of microphone array networks. IEEE/SP 15th Workshop on Statistical Signal Processing (SSP 2009), 257–260. https://doi.org/10.1109/SSP.2009.5278589 bibtex: '@inproceedings{Hennecke_Ploetz_Fink_Schmalenstroeer_Haeb-Umbach_2009, title={A hierarchical approach to unsupervised shape calibration of microphone array networks}, DOI={10.1109/SSP.2009.5278589}, booktitle={IEEE/SP 15th Workshop on Statistical Signal Processing (SSP 2009)}, author={Hennecke, Marius and Ploetz, Thomas and Fink, Gernot A. and Schmalenstroeer, Joerg and Haeb-Umbach, Reinhold}, year={2009}, pages={257–260} }' chicago: Hennecke, Marius, Thomas Ploetz, Gernot A. Fink, Joerg Schmalenstroeer, and Reinhold Haeb-Umbach. “A Hierarchical Approach to Unsupervised Shape Calibration of Microphone Array Networks.” In IEEE/SP 15th Workshop on Statistical Signal Processing (SSP 2009), 257–60, 2009. https://doi.org/10.1109/SSP.2009.5278589. ieee: 'M. Hennecke, T. Ploetz, G. A. Fink, J. Schmalenstroeer, and R. Haeb-Umbach, “A hierarchical approach to unsupervised shape calibration of microphone array networks,” in IEEE/SP 15th Workshop on Statistical Signal Processing (SSP 2009), 2009, pp. 257–260, doi: 10.1109/SSP.2009.5278589.' mla: Hennecke, Marius, et al. “A Hierarchical Approach to Unsupervised Shape Calibration of Microphone Array Networks.” IEEE/SP 15th Workshop on Statistical Signal Processing (SSP 2009), 2009, pp. 257–60, doi:10.1109/SSP.2009.5278589. short: 'M. Hennecke, T. Ploetz, G.A. Fink, J. Schmalenstroeer, R. Haeb-Umbach, in: IEEE/SP 15th Workshop on Statistical Signal Processing (SSP 2009), 2009, pp. 257–260.' date_created: 2019-07-12T05:28:37Z date_updated: 2023-10-26T08:09:22Z department: - _id: '54' doi: 10.1109/SSP.2009.5278589 keyword: - acoustic sensing tasks - array geometry - calibration - coherence analysis - hierarchical procedure - local shape calibration - microphone array networks - microphone arrays - network calibration method - sensor arrays - SRP-PHAT - unsupervised shape calibration language: - iso: eng main_file_link: - open_access: '1' url: https://groups.uni-paderborn.de/nt/pubs/2009/HePlFiScHa09.pdf oa: '1' page: 257-260 publication: IEEE/SP 15th Workshop on Statistical Signal Processing (SSP 2009) quality_controlled: '1' status: public title: A hierarchical approach to unsupervised shape calibration of microphone array networks type: conference user_id: '460' year: '2009' ... --- _id: '11899' abstract: - lang: eng text: In this paper we present a system for identifying and localizingspeakers using distant microphone arrays and a steerablepan-tilt-zoom camera. Audio and video streams are processedin real-time to obtain the diarization information {grqq}who speakswhen and where'' with low latency to be used in advanced videoconferencing systems or user-adaptive interfaces. A key featureof the proposed system is to first glean information about thespeaker{\rq}s location and identity from the audio and visual datastreams separately and then to fuse these data in a probabilisticframework employing the Viterbi algorithm. Here, visual evidenceof a person is utilized through a priori state probabilities,while location and speaker change information are employedvia time-variant transition probablities. Experiments show thatvideo information yields a substantial improvement comparedto pure audio-based diarization. author: - first_name: Joerg full_name: Schmalenstroeer, Joerg id: '460' last_name: Schmalenstroeer - first_name: Martin full_name: Kelling, Martin last_name: Kelling - first_name: Volker full_name: Leutnant, Volker last_name: Leutnant - first_name: Reinhold full_name: Haeb-Umbach, Reinhold id: '242' last_name: Haeb-Umbach citation: ama: 'Schmalenstroeer J, Kelling M, Leutnant V, Haeb-Umbach R. Fusing Audio and Video Information for Online Speaker Diarization. In: Interspeech 2009. ; 2009.' apa: Schmalenstroeer, J., Kelling, M., Leutnant, V., & Haeb-Umbach, R. (2009). Fusing Audio and Video Information for Online Speaker Diarization. Interspeech 2009. bibtex: '@inproceedings{Schmalenstroeer_Kelling_Leutnant_Haeb-Umbach_2009, title={Fusing Audio and Video Information for Online Speaker Diarization}, booktitle={Interspeech 2009}, author={Schmalenstroeer, Joerg and Kelling, Martin and Leutnant, Volker and Haeb-Umbach, Reinhold}, year={2009} }' chicago: Schmalenstroeer, Joerg, Martin Kelling, Volker Leutnant, and Reinhold Haeb-Umbach. “Fusing Audio and Video Information for Online Speaker Diarization.” In Interspeech 2009, 2009. ieee: J. Schmalenstroeer, M. Kelling, V. Leutnant, and R. Haeb-Umbach, “Fusing Audio and Video Information for Online Speaker Diarization,” 2009. mla: Schmalenstroeer, Joerg, et al. “Fusing Audio and Video Information for Online Speaker Diarization.” Interspeech 2009, 2009. short: 'J. Schmalenstroeer, M. Kelling, V. Leutnant, R. Haeb-Umbach, in: Interspeech 2009, 2009.' date_created: 2019-07-12T05:30:24Z date_updated: 2023-10-26T08:10:10Z department: - _id: '54' language: - iso: eng main_file_link: - open_access: '1' url: https://groups.uni-paderborn.de/nt/pubs/2009/ScKeLeHa09.pdf oa: '1' publication: Interspeech 2009 quality_controlled: '1' status: public title: Fusing Audio and Video Information for Online Speaker Diarization type: conference user_id: '460' year: '2009' ... --- _id: '11893' author: - first_name: Joerg full_name: Schmalenstroeer, Joerg id: '460' last_name: Schmalenstroeer - first_name: Reinhold full_name: Haeb-Umbach, Reinhold id: '242' last_name: Haeb-Umbach citation: ama: 'Schmalenstroeer J, Haeb-Umbach R. Joint Speaker Segmentation, Localization and Identification for Streaming Audio. In: Interspeech 2007. ; 2007.' apa: Schmalenstroeer, J., & Haeb-Umbach, R. (2007). Joint Speaker Segmentation, Localization and Identification for Streaming Audio. Interspeech 2007. bibtex: '@inproceedings{Schmalenstroeer_Haeb-Umbach_2007, title={Joint Speaker Segmentation, Localization and Identification for Streaming Audio}, booktitle={Interspeech 2007}, author={Schmalenstroeer, Joerg and Haeb-Umbach, Reinhold}, year={2007} }' chicago: Schmalenstroeer, Joerg, and Reinhold Haeb-Umbach. “Joint Speaker Segmentation, Localization and Identification for Streaming Audio.” In Interspeech 2007, 2007. ieee: J. Schmalenstroeer and R. Haeb-Umbach, “Joint Speaker Segmentation, Localization and Identification for Streaming Audio,” 2007. mla: Schmalenstroeer, Joerg, and Reinhold Haeb-Umbach. “Joint Speaker Segmentation, Localization and Identification for Streaming Audio.” Interspeech 2007, 2007. short: 'J. Schmalenstroeer, R. Haeb-Umbach, in: Interspeech 2007, 2007.' date_created: 2019-07-12T05:30:17Z date_updated: 2023-10-26T08:10:02Z department: - _id: '54' language: - iso: eng main_file_link: - open_access: '1' url: https://groups.uni-paderborn.de/nt/pubs/2007/ScHa07.pdf oa: '1' publication: Interspeech 2007 quality_controlled: '1' status: public title: Joint Speaker Segmentation, Localization and Identification for Streaming Audio type: conference user_id: '460' year: '2007' ... --- _id: '11901' author: - first_name: Joerg full_name: Schmalenstroeer, Joerg id: '460' last_name: Schmalenstroeer - first_name: Volker full_name: Leutnant, Volker last_name: Leutnant - first_name: Reinhold full_name: Haeb-Umbach, Reinhold id: '242' last_name: Haeb-Umbach citation: ama: 'Schmalenstroeer J, Leutnant V, Haeb-Umbach R. Amigo Context Management Service with Applications in Ambient Communication Scenarios. In: AMI-07 - European Conference on Ambient Intelligence. ; 2007.' apa: Schmalenstroeer, J., Leutnant, V., & Haeb-Umbach, R. (2007). Amigo Context Management Service with Applications in Ambient Communication Scenarios. AMI-07 - European Conference on Ambient Intelligence. bibtex: '@inproceedings{Schmalenstroeer_Leutnant_Haeb-Umbach_2007, title={Amigo Context Management Service with Applications in Ambient Communication Scenarios}, booktitle={AMI-07 - European Conference on Ambient Intelligence}, author={Schmalenstroeer, Joerg and Leutnant, Volker and Haeb-Umbach, Reinhold}, year={2007} }' chicago: Schmalenstroeer, Joerg, Volker Leutnant, and Reinhold Haeb-Umbach. “Amigo Context Management Service with Applications in Ambient Communication Scenarios.” In AMI-07 - European Conference on Ambient Intelligence, 2007. ieee: J. Schmalenstroeer, V. Leutnant, and R. Haeb-Umbach, “Amigo Context Management Service with Applications in Ambient Communication Scenarios,” 2007. mla: Schmalenstroeer, Joerg, et al. “Amigo Context Management Service with Applications in Ambient Communication Scenarios.” AMI-07 - European Conference on Ambient Intelligence, 2007. short: 'J. Schmalenstroeer, V. Leutnant, R. Haeb-Umbach, in: AMI-07 - European Conference on Ambient Intelligence, 2007.' date_created: 2019-07-12T05:30:27Z date_updated: 2023-10-26T08:13:09Z department: - _id: '54' language: - iso: eng main_file_link: - open_access: '1' url: https://groups.uni-paderborn.de/nt/pubs/2007/ScLeHa07.pdf oa: '1' publication: AMI-07 - European Conference on Ambient Intelligence quality_controlled: '1' status: public title: Amigo Context Management Service with Applications in Ambient Communication Scenarios type: conference user_id: '460' year: '2007' ... --- _id: '11933' author: - first_name: Ernst full_name: Warsitz, Ernst last_name: Warsitz - first_name: Reinhold full_name: Haeb-Umbach, Reinhold id: '242' last_name: Haeb-Umbach - first_name: Joerg full_name: Schmalenstroeer, Joerg id: '460' last_name: Schmalenstroeer citation: ama: 'Warsitz E, Haeb-Umbach R, Schmalenstroeer J. Zweistufige Sprache/Pause-Detektion in stark gestoerter Umgebung. In: 33. Deutsche Jahrestagung Fuer Akustik (DAGA 2007). ; 2007.' apa: Warsitz, E., Haeb-Umbach, R., & Schmalenstroeer, J. (2007). Zweistufige Sprache/Pause-Detektion in stark gestoerter Umgebung. 33. Deutsche Jahrestagung Fuer Akustik (DAGA 2007). bibtex: '@inproceedings{Warsitz_Haeb-Umbach_Schmalenstroeer_2007, title={Zweistufige Sprache/Pause-Detektion in stark gestoerter Umgebung}, booktitle={33. Deutsche Jahrestagung fuer Akustik (DAGA 2007)}, author={Warsitz, Ernst and Haeb-Umbach, Reinhold and Schmalenstroeer, Joerg}, year={2007} }' chicago: Warsitz, Ernst, Reinhold Haeb-Umbach, and Joerg Schmalenstroeer. “Zweistufige Sprache/Pause-Detektion in Stark Gestoerter Umgebung.” In 33. Deutsche Jahrestagung Fuer Akustik (DAGA 2007), 2007. ieee: E. Warsitz, R. Haeb-Umbach, and J. Schmalenstroeer, “Zweistufige Sprache/Pause-Detektion in stark gestoerter Umgebung,” 2007. mla: Warsitz, Ernst, et al. “Zweistufige Sprache/Pause-Detektion in Stark Gestoerter Umgebung.” 33. Deutsche Jahrestagung Fuer Akustik (DAGA 2007), 2007. short: 'E. Warsitz, R. Haeb-Umbach, J. Schmalenstroeer, in: 33. Deutsche Jahrestagung Fuer Akustik (DAGA 2007), 2007.' date_created: 2019-07-12T05:31:04Z date_updated: 2023-10-26T08:12:49Z department: - _id: '54' language: - iso: eng main_file_link: - open_access: '1' url: https://groups.uni-paderborn.de/nt/pubs/2007/WaHaSc07.pdf oa: '1' publication: 33. Deutsche Jahrestagung fuer Akustik (DAGA 2007) quality_controlled: '1' status: public title: Zweistufige Sprache/Pause-Detektion in stark gestoerter Umgebung type: conference user_id: '460' year: '2007' ... --- _id: '11902' author: - first_name: Joerg full_name: Schmalenstroeer, Joerg id: '460' last_name: Schmalenstroeer - first_name: Ernst full_name: Warsitz, Ernst last_name: Warsitz - first_name: Reinhold full_name: Haeb-Umbach, Reinhold id: '242' last_name: Haeb-Umbach citation: ama: 'Schmalenstroeer J, Warsitz E, Haeb-Umbach R. Projekt Amigo - Sprachsignalverarbeitung im vernetzten Haus. In: 33. Deutsche Jahrestagung Fuer Akustik (DAGA 2007). ; 2007.' apa: Schmalenstroeer, J., Warsitz, E., & Haeb-Umbach, R. (2007). Projekt Amigo - Sprachsignalverarbeitung im vernetzten Haus. 33. Deutsche Jahrestagung Fuer Akustik (DAGA 2007). bibtex: '@inproceedings{Schmalenstroeer_Warsitz_Haeb-Umbach_2007, title={Projekt Amigo - Sprachsignalverarbeitung im vernetzten Haus}, booktitle={33. Deutsche Jahrestagung fuer Akustik (DAGA 2007)}, author={Schmalenstroeer, Joerg and Warsitz, Ernst and Haeb-Umbach, Reinhold}, year={2007} }' chicago: Schmalenstroeer, Joerg, Ernst Warsitz, and Reinhold Haeb-Umbach. “Projekt Amigo - Sprachsignalverarbeitung Im Vernetzten Haus.” In 33. Deutsche Jahrestagung Fuer Akustik (DAGA 2007), 2007. ieee: J. Schmalenstroeer, E. Warsitz, and R. Haeb-Umbach, “Projekt Amigo - Sprachsignalverarbeitung im vernetzten Haus,” 2007. mla: Schmalenstroeer, Joerg, et al. “Projekt Amigo - Sprachsignalverarbeitung Im Vernetzten Haus.” 33. Deutsche Jahrestagung Fuer Akustik (DAGA 2007), 2007. short: 'J. Schmalenstroeer, E. Warsitz, R. Haeb-Umbach, in: 33. Deutsche Jahrestagung Fuer Akustik (DAGA 2007), 2007.' date_created: 2019-07-12T05:30:28Z date_updated: 2023-10-26T08:13:01Z department: - _id: '54' language: - iso: eng main_file_link: - open_access: '1' url: https://groups.uni-paderborn.de/nt/pubs/2007/ScWaHa07.pdf oa: '1' publication: 33. Deutsche Jahrestagung fuer Akustik (DAGA 2007) quality_controlled: '1' status: public title: Projekt Amigo - Sprachsignalverarbeitung im vernetzten Haus type: conference user_id: '460' year: '2007' ... --- _id: '11894' abstract: - lang: eng text: In this paper we consider the problem of detecting speaker changes in audio signals recorded by distant microphones. It is shown that the possibility to exploit the spatial separation of speakers more than makes up the degradation in detection accuracy due to the increased source-to-sensor distance compared to close-talking microphones. Speaker direction information is derived from the filter coefficients of an adaptive Filter-and-Sum Beamformer and is combined with BIC analysis. The experimental results reveal significant improvements compared to BIC-only change detection, be it with the distant or close-talking microphone. author: - first_name: Joerg full_name: Schmalenstroeer, Joerg id: '460' last_name: Schmalenstroeer - first_name: Reinhold full_name: Haeb-Umbach, Reinhold id: '242' last_name: Haeb-Umbach citation: ama: 'Schmalenstroeer J, Haeb-Umbach R. Online Speaker Change Detection by Combining BIC with Microphone Array Beamforming. In: Interspeech 2006. ; 2006.' apa: Schmalenstroeer, J., & Haeb-Umbach, R. (2006). Online Speaker Change Detection by Combining BIC with Microphone Array Beamforming. Interspeech 2006. bibtex: '@inproceedings{Schmalenstroeer_Haeb-Umbach_2006, title={Online Speaker Change Detection by Combining BIC with Microphone Array Beamforming}, booktitle={Interspeech 2006}, author={Schmalenstroeer, Joerg and Haeb-Umbach, Reinhold}, year={2006} }' chicago: Schmalenstroeer, Joerg, and Reinhold Haeb-Umbach. “Online Speaker Change Detection by Combining BIC with Microphone Array Beamforming.” In Interspeech 2006, 2006. ieee: J. Schmalenstroeer and R. Haeb-Umbach, “Online Speaker Change Detection by Combining BIC with Microphone Array Beamforming,” 2006. mla: Schmalenstroeer, Joerg, and Reinhold Haeb-Umbach. “Online Speaker Change Detection by Combining BIC with Microphone Array Beamforming.” Interspeech 2006, 2006. short: 'J. Schmalenstroeer, R. Haeb-Umbach, in: Interspeech 2006, 2006.' date_created: 2019-07-12T05:30:19Z date_updated: 2023-10-26T08:09:54Z department: - _id: '54' language: - iso: eng main_file_link: - open_access: '1' url: https://groups.uni-paderborn.de/nt/pubs/2006/ScHa06.pdf oa: '1' publication: Interspeech 2006 quality_controlled: '1' status: public title: Online Speaker Change Detection by Combining BIC with Microphone Array Beamforming type: conference user_id: '460' year: '2006' ... --- _id: '11802' author: - first_name: Reinhold full_name: Haeb-Umbach, Reinhold id: '242' last_name: Haeb-Umbach - first_name: Joerg full_name: Schmalenstroeer, Joerg id: '460' last_name: Schmalenstroeer citation: ama: 'Haeb-Umbach R, Schmalenstroeer J. Speech Processing in the Networked Home Environment - A View on the Amigo Project. In: Interspeech 2005. ; 2005.' apa: Haeb-Umbach, R., & Schmalenstroeer, J. (2005). Speech Processing in the Networked Home Environment - A View on the Amigo Project. Interspeech 2005. bibtex: '@inproceedings{Haeb-Umbach_Schmalenstroeer_2005, place={Lisboa}, title={Speech Processing in the Networked Home Environment - A View on the Amigo Project}, booktitle={Interspeech 2005}, author={Haeb-Umbach, Reinhold and Schmalenstroeer, Joerg}, year={2005} }' chicago: Haeb-Umbach, Reinhold, and Joerg Schmalenstroeer. “Speech Processing in the Networked Home Environment - A View on the Amigo Project.” In Interspeech 2005. Lisboa, 2005. ieee: R. Haeb-Umbach and J. Schmalenstroeer, “Speech Processing in the Networked Home Environment - A View on the Amigo Project,” 2005. mla: Haeb-Umbach, Reinhold, and Joerg Schmalenstroeer. “Speech Processing in the Networked Home Environment - A View on the Amigo Project.” Interspeech 2005, 2005. short: 'R. Haeb-Umbach, J. Schmalenstroeer, in: Interspeech 2005, Lisboa, 2005.' date_created: 2019-07-12T05:28:32Z date_updated: 2023-10-26T08:09:00Z department: - _id: '54' language: - iso: eng main_file_link: - open_access: '1' url: https://groups.uni-paderborn.de/nt/pubs/2005/HaSc05-2.pdf oa: '1' place: Lisboa publication: Interspeech 2005 quality_controlled: '1' status: public title: Speech Processing in the Networked Home Environment - A View on the Amigo Project type: conference user_id: '460' year: '2005' ... --- _id: '11801' author: - first_name: Reinhold full_name: Haeb-Umbach, Reinhold id: '242' last_name: Haeb-Umbach - first_name: Joerg full_name: Schmalenstroeer, Joerg id: '460' last_name: Schmalenstroeer citation: ama: 'Haeb-Umbach R, Schmalenstroeer J. A Comparison of Particle Filtering Variants for Speech Feature Enhancement. In: Interspeech 2005. ; 2005.' apa: Haeb-Umbach, R., & Schmalenstroeer, J. (2005). A Comparison of Particle Filtering Variants for Speech Feature Enhancement. Interspeech 2005. bibtex: '@inproceedings{Haeb-Umbach_Schmalenstroeer_2005, title={A Comparison of Particle Filtering Variants for Speech Feature Enhancement}, booktitle={Interspeech 2005}, author={Haeb-Umbach, Reinhold and Schmalenstroeer, Joerg}, year={2005} }' chicago: Haeb-Umbach, Reinhold, and Joerg Schmalenstroeer. “A Comparison of Particle Filtering Variants for Speech Feature Enhancement.” In Interspeech 2005, 2005. ieee: R. Haeb-Umbach and J. Schmalenstroeer, “A Comparison of Particle Filtering Variants for Speech Feature Enhancement,” 2005. mla: Haeb-Umbach, Reinhold, and Joerg Schmalenstroeer. “A Comparison of Particle Filtering Variants for Speech Feature Enhancement.” Interspeech 2005, 2005. short: 'R. Haeb-Umbach, J. Schmalenstroeer, in: Interspeech 2005, 2005.' date_created: 2019-07-12T05:28:31Z date_updated: 2023-10-26T08:09:13Z department: - _id: '54' language: - iso: eng main_file_link: - open_access: '1' url: https://groups.uni-paderborn.de/nt/pubs/2005/HaSc05-1.pdf oa: '1' publication: Interspeech 2005 quality_controlled: '1' status: public title: A Comparison of Particle Filtering Variants for Speech Feature Enhancement type: conference user_id: '460' year: '2005' ...