--- _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: '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: '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: '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: '15237' abstract: - lang: eng text: This paper presents an approach to voice conversion, whichdoes neither require parallel data nor speaker or phone labels fortraining. It can convert between speakers which are not in thetraining set by employing the previously proposed concept of afactorized hierarchical variational autoencoder. Here, linguisticand speaker induced variations are separated upon the notionthat content induced variations change at a much shorter timescale, i.e., at the segment level, than speaker induced variations,which vary at the longer utterance level. In this contribution wepropose to employ convolutional instead of recurrent networklayers in the encoder and decoder blocks, which is shown toachieve better phone recognition accuracy on the latent segmentvariables at frame-level due to their better temporal resolution.For voice conversion the mean of the utterance variables is re-placed with the respective estimated mean of the target speaker.The resulting log-mel spectra of the decoder output are used aslocal conditions of a WaveNet which is utilized for synthesis ofthe speech waveforms. Experiments show both good disentan-glement properties of the latent space variables, and good voiceconversion performance. author: - first_name: Tobias full_name: Gburrek, Tobias id: '44006' last_name: Gburrek - first_name: Thomas full_name: Glarner, Thomas id: '14169' last_name: Glarner - first_name: Janek full_name: Ebbers, Janek id: '34851' last_name: Ebbers - first_name: Reinhold full_name: Haeb-Umbach, Reinhold id: '242' last_name: Haeb-Umbach - first_name: Petra full_name: Wagner, Petra last_name: Wagner citation: ama: 'Gburrek T, Glarner T, Ebbers J, Haeb-Umbach R, Wagner P. Unsupervised Learning of a Disentangled Speech Representation for Voice Conversion. In: Proc. 10th ISCA Speech Synthesis Workshop. ; 2019:81-86. doi:10.21437/SSW.2019-15' apa: Gburrek, T., Glarner, T., Ebbers, J., Haeb-Umbach, R., & Wagner, P. (2019). Unsupervised Learning of a Disentangled Speech Representation for Voice Conversion. Proc. 10th ISCA Speech Synthesis Workshop, 81–86. https://doi.org/10.21437/SSW.2019-15 bibtex: '@inproceedings{Gburrek_Glarner_Ebbers_Haeb-Umbach_Wagner_2019, title={Unsupervised Learning of a Disentangled Speech Representation for Voice Conversion}, DOI={10.21437/SSW.2019-15}, booktitle={Proc. 10th ISCA Speech Synthesis Workshop}, author={Gburrek, Tobias and Glarner, Thomas and Ebbers, Janek and Haeb-Umbach, Reinhold and Wagner, Petra}, year={2019}, pages={81–86} }' chicago: Gburrek, Tobias, Thomas Glarner, Janek Ebbers, Reinhold Haeb-Umbach, and Petra Wagner. “Unsupervised Learning of a Disentangled Speech Representation for Voice Conversion.” In Proc. 10th ISCA Speech Synthesis Workshop, 81–86, 2019. https://doi.org/10.21437/SSW.2019-15. ieee: 'T. Gburrek, T. Glarner, J. Ebbers, R. Haeb-Umbach, and P. Wagner, “Unsupervised Learning of a Disentangled Speech Representation for Voice Conversion,” in Proc. 10th ISCA Speech Synthesis Workshop, Vienna, 2019, pp. 81–86, doi: 10.21437/SSW.2019-15.' mla: Gburrek, Tobias, et al. “Unsupervised Learning of a Disentangled Speech Representation for Voice Conversion.” Proc. 10th ISCA Speech Synthesis Workshop, 2019, pp. 81–86, doi:10.21437/SSW.2019-15. short: 'T. Gburrek, T. Glarner, J. Ebbers, R. Haeb-Umbach, P. Wagner, in: Proc. 10th ISCA Speech Synthesis Workshop, 2019, pp. 81–86.' conference: location: Vienna name: 10th ISCA Speech Synthesis Workshop date_created: 2019-12-04T08:12:29Z date_updated: 2023-11-17T06:20:39Z department: - _id: '54' doi: 10.21437/SSW.2019-15 language: - iso: eng main_file_link: - open_access: '1' url: https://www.isca-speech.org/archive/pdfs/ssw_2019/gburrek19_ssw.pdf oa: '1' page: 81-86 publication: Proc. 10th ISCA Speech Synthesis Workshop quality_controlled: '1' related_material: link: - description: Listening examples relation: supplementary_material url: http://go.upb.de/vcex status: public title: Unsupervised Learning of a Disentangled Speech Representation for Voice Conversion type: conference user_id: '44006' year: '2019' ...