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318 Publications


2024 | Journal Article | LibreCat-ID: 52958 | OA
Boeddeker, C., Subramanian, A. S., Wichern, G., Haeb-Umbach, R., & Le Roux, J. (2024). TS-SEP: Joint Diarization and Separation Conditioned on Estimated Speaker Embeddings. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 32, 1185–1197. https://doi.org/10.1109/taslp.2024.3350887
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2024 | Conference Paper | LibreCat-ID: 53659
Cord-Landwehr, T., Boeddeker, C., Zorilă, C., Doddipatla, R., & Haeb-Umbach, R. (2024). Geodesic Interpolation of Frame-Wise Speaker Embeddings for the Diarization of Meeting Scenarios. ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Seoul. https://doi.org/10.1109/icassp48485.2024.10445911
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2023 | Conference Paper | LibreCat-ID: 48269 | OA
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.
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2023 | Conference Paper | LibreCat-ID: 47128 | OA
Cord-Landwehr, T., Boeddeker, C., Zorilă, C., Doddipatla, R., & Haeb-Umbach, R. (2023). Frame-Wise and Overlap-Robust Speaker Embeddings for Meeting Diarization. ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Rhodes. https://doi.org/10.1109/icassp49357.2023.10095370
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2023 | Conference Paper | LibreCat-ID: 48270 | OA
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.
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2023 | Conference Paper | LibreCat-ID: 47129 | OA
Cord-Landwehr, T., Boeddeker, C., Zorilă, C., Doddipatla, R., & Haeb-Umbach, R. (2023). A Teacher-Student Approach for Extracting Informative Speaker Embeddings From Speech Mixtures. INTERSPEECH 2023. https://doi.org/10.21437/interspeech.2023-1379
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2023 | Conference Paper | LibreCat-ID: 48355 | OA
Rautenberg, F., Kuhlmann, M., Wiechmann, J., Seebauer, F., Wagner, P., & Haeb-Umbach, R. (2023). On Feature Importance and Interpretability of Speaker Representations. ITG Conference on Speech Communication. ITG Conference on Speech Communication, Aachen.
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2023 | Conference Paper | LibreCat-ID: 48410 | OA
Wiechmann, J., Rautenberg, F., Wagner, P., & Haeb-Umbach, R. (2023). Explaining voice characteristics to novice voice practitioners-How successful is it? 20th International Congress of the Phonetic Sciences (ICPhS) .
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2023 | Conference Paper | LibreCat-ID: 48391
Aralikatti, R., Boeddeker, C., Wichern, G., Subramanian, A., & Le Roux, J. (2023). Reverberation as Supervision For Speech Separation. ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). https://doi.org/10.1109/icassp49357.2023.10095022
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2023 | Conference Paper | LibreCat-ID: 48390
Berger, S., Vieting, P., Boeddeker, C., Schlüter, R., & Haeb-Umbach, R. (2023). Mixture Encoder for Joint Speech Separation and Recognition. INTERSPEECH 2023. https://doi.org/10.21437/interspeech.2023-1815
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2023 | Conference Paper | LibreCat-ID: 46069
Seebauer, F., Kuhlmann, M., Haeb-Umbach, R., & Wagner, P. (2023). Re-examining the quality dimensions of synthetic speech. 12th Speech Synthesis Workshop (SSW) 2023.
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2023 | Journal Article | LibreCat-ID: 35602 | OA
von Neumann, T., Kinoshita, K., Boeddeker, C., Delcroix, M., & Haeb-Umbach, R. (2023). Segment-Less Continuous Speech Separation of Meetings: Training and Evaluation Criteria. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 31, 576–589. https://doi.org/10.1109/taslp.2022.3228629
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2023 | Conference Paper | LibreCat-ID: 48281 | OA
von Neumann, T., Boeddeker, C., Kinoshita, K., Delcroix, M., & Haeb-Umbach, R. (2023). On Word Error Rate Definitions and Their Efficient Computation for Multi-Speaker Speech Recognition Systems. ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). https://doi.org/10.1109/icassp49357.2023.10094784
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2023 | Conference Paper | LibreCat-ID: 48275 | OA
von Neumann, T., Boeddeker, C., Delcroix, M., & Haeb-Umbach, R. (2023). MeetEval: A Toolkit for Computation of Word Error Rates for Meeting Transcription Systems. Proc. CHiME 2023 Workshop on Speech Processing in Everyday Environments. CHiME 2023 Workshop on Speech Processing in Everyday Environments, Dublin.
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2023 | Conference Paper | LibreCat-ID: 49109 | OA
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.
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2023 | Conference Paper | LibreCat-ID: 49111
Ebbers, J., Haeb-Umbach, R., & Serizel, R. (2023). Post-Processing Independent Evaluation of Sound Event Detection Systems. Proceedings of the 8th Detection and Classification of Acoustic Scenes and Events 2023 Workshop (DCASE2023), 36–40.
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2023 | Conference Paper | LibreCat-ID: 44849 | OA
Rautenberg, F., Kuhlmann, M., Ebbers, J., Wiechmann, J., Seebauer, F., Wagner, P., & Haeb-Umbach, R. (2023). Speech Disentanglement for Analysis and Modification of Acoustic and Perceptual Speaker Characteristics. Fortschritte Der Akustik - DAGA 2023, 1409–1412.
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2022 | Journal Article | LibreCat-ID: 33669 | OA
Zhang, W., Chang, X., Boeddeker, C., Nakatani, T., Watanabe, S., & Qian, Y. (2022). End-to-End Dereverberation, Beamforming, and Speech Recognition in A Cocktail Party. IEEE/ACM Transactions on Audio, Speech, and Language Processing. https://doi.org/10.1109/TASLP.2022.3209942
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2022 | Conference Paper | LibreCat-ID: 33954 | OA
Boeddeker, C., Cord-Landwehr, T., von Neumann, T., & Haeb-Umbach, R. (2022). An Initialization Scheme for Meeting Separation with Spatial Mixture Models. Interspeech 2022. https://doi.org/10.21437/interspeech.2022-10929
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2022 | Conference Paper | LibreCat-ID: 33471
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.
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2022 | Conference Paper | LibreCat-ID: 33806
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
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2022 | Conference Paper | LibreCat-ID: 33958
Kinoshita, K., von Neumann, T., Delcroix, M., Boeddeker, C., & Haeb-Umbach, R. (2022). Utterance-by-utterance overlap-aware neural diarization with Graph-PIT. Proc. Interspeech 2022, 1486–1490. https://doi.org/10.21437/Interspeech.2022-11408
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2022 | Conference Paper | LibreCat-ID: 33819 | OA
von Neumann, T., Kinoshita, K., Boeddeker, C., Delcroix, M., & Haeb-Umbach, R. (2022). SA-SDR: A Novel Loss Function for Separation of Meeting Style Data. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). https://doi.org/10.1109/icassp43922.2022.9746757
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2022 | Conference Paper | LibreCat-ID: 33847 | OA
Cord-Landwehr, T., von Neumann, T., Boeddeker, C., & Haeb-Umbach, R. (2022). MMS-MSG: A Multi-purpose Multi-Speaker Mixture Signal Generator. 2022 International Workshop on Acoustic Signal Enhancement (IWAENC). 2022 International Workshop on Acoustic Signal Enhancement (IWAENC), Bamberg.
LibreCat | Files available | arXiv
 

2022 | Conference Paper | LibreCat-ID: 33848 | OA
Cord-Landwehr, T., Boeddeker, C., von Neumann, T., Zorila, C., Doddipatla, R., & Haeb-Umbach, R. (2022). Monaural source separation: From anechoic to reverberant environments. 2022 International Workshop on Acoustic Signal Enhancement (IWAENC). 2022 International Workshop on Acoustic Signal Enhancement (IWAENC).
LibreCat | Files available | arXiv
 

2022 | Conference Paper | LibreCat-ID: 33807 | OA
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
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2022 | Journal Article | LibreCat-ID: 33451 | OA
Grimm, C., Fei, T., Warsitz, E., Farhoud, R., Breddermann, T., & Haeb-Umbach, R. (2022). Warping of Radar Data Into Camera Image for Cross-Modal Supervision in Automotive Applications. IEEE Transactions on Vehicular Technology, 71(9), 9435–9449. https://doi.org/10.1109/TVT.2022.3182411
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2022 | Report | LibreCat-ID: 49113
Ebbers, J., & Haeb-Umbach, R. (2022). Pre-Training And Self-Training For Sound Event Detection In Domestic Environments.
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2022 | Conference Paper | LibreCat-ID: 33696 | OA
Wiechmann, J., Glarner, T., Rautenberg, F., Wagner, P., & Haeb-Umbach, R. (2022). Technically enabled explaining of voice characteristics. 18. Phonetik Und Phonologie Im Deutschsprachigen Raum (P&P).
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2022 | Conference Paper | LibreCat-ID: 33857 | OA
Kuhlmann, M., Seebauer, F., Ebbers, J., Wagner, P., & Haeb-Umbach, R. (2022). Investigation into Target Speaking Rate Adaptation for Voice Conversion. Interspeech 2022. https://doi.org/10.21437/interspeech.2022-10740
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2022 | Conference Paper | LibreCat-ID: 33808 | OA
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
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2022 | Misc | LibreCat-ID: 33816 | OA
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
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2022 | Conference Paper | LibreCat-ID: 34072 | OA
Ebbers, J., Haeb-Umbach, R., & Serizel, R. (2022). Threshold Independent Evaluation of Sound Event Detection Scores. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
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2021 | Journal Article | LibreCat-ID: 21065 | OA
Haeb-Umbach, R., Heymann, J., Drude, L., Watanabe, S., Delcroix, M., & Nakatani, T. (2021). Far-Field Automatic Speech Recognition. Proceedings of the IEEE, 109(2), 124–148. https://doi.org/10.1109/JPROC.2020.3018668
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2021 | Conference Paper | LibreCat-ID: 28256
Zhang, W., Boeddeker, C., Watanabe, S., Nakatani, T., Delcroix, M., Kinoshita, K., Ochiai, T., Kamo, N., Haeb-Umbach, R., & Qian, Y. (2021). End-to-End Dereverberation, Beamforming, and Speech Recognition with Improved Numerical Stability and Advanced Frontend. ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). https://doi.org/10.1109/icassp39728.2021.9414464
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2021 | Conference Paper | LibreCat-ID: 28262
Li, C., Shi, J., Zhang, W., Subramanian, A. S., Chang, X., Kamo, N., Hira, M., Hayashi, T., Boeddeker, C., Chen, Z., & Watanabe, S. (2021). ESPnet-SE: End-To-End Speech Enhancement and Separation Toolkit Designed for ASR Integration. 2021 IEEE Spoken Language Technology Workshop (SLT). https://doi.org/10.1109/slt48900.2021.9383615
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2021 | Conference Paper | LibreCat-ID: 28261
Li, C., Luo, Y., Han, C., Li, J., Yoshioka, T., Zhou, T., Delcroix, M., Kinoshita, K., Boeddeker, C., Qian, Y., Watanabe, S., & Chen, Z. (2021). Dual-Path RNN for Long Recording Speech Separation. 2021 IEEE Spoken Language Technology Workshop (SLT). https://doi.org/10.1109/slt48900.2021.9383514
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2021 | Conference Paper | LibreCat-ID: 24000
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.
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2021 | Conference Paper | LibreCat-ID: 44843 | OA
Boeddeker, C., Rautenberg, F., & Haeb-Umbach, R. (2021). A Comparison and Combination of Unsupervised Blind Source Separation  Techniques. ITG Conference on Speech Communication. ITG Conference on Speech Communication, Kiel.
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2021 | Conference Paper | LibreCat-ID: 28259 | OA
Boeddeker, C., Zhang, W., Nakatani, T., Kinoshita, K., Ochiai, T., Delcroix, M., Kamo, N., Qian, Y., & Haeb-Umbach, R. (2021). Convolutive Transfer Function Invariant SDR Training Criteria for Multi-Channel Reverberant Speech Separation. ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). https://doi.org/10.1109/icassp39728.2021.9414661
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2021 | Conference Paper | LibreCat-ID: 23998 | OA
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.
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2021 | Journal Article | LibreCat-ID: 22528 | OA
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
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2021 | Conference Paper | LibreCat-ID: 23994 | OA
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
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2021 | Conference Paper | LibreCat-ID: 23999 | OA
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.
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2021 | Conference Paper | LibreCat-ID: 23997 | OA
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.
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2021 | Conference Paper | LibreCat-ID: 29304 | OA
Ebbers, J., Kuhlmann, M., Cord-Landwehr, T., & Haeb-Umbach, R. (2021). Contrastive Predictive Coding Supported Factorized Variational Autoencoder for Unsupervised Learning of Disentangled Speech Representations. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 3860–3864.
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2021 | Conference Paper | LibreCat-ID: 26770 | OA
von Neumann, T., Kinoshita, K., Boeddeker, C., Delcroix, M., & Haeb-Umbach, R. (2021). Graph-PIT: Generalized Permutation Invariant Training for Continuous Separation of Arbitrary Numbers of Speakers. Interspeech 2021. Interspeech. https://doi.org/10.21437/interspeech.2021-1177
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2021 | Conference Paper | LibreCat-ID: 29173 | OA
von Neumann, T., Boeddeker, C., Kinoshita, K., Delcroix, M., & Haeb-Umbach, R. (2021). Speeding Up Permutation Invariant Training for Source Separation. Speech Communication; 14th ITG Conference. Speech Communication; 14th ITG Conference, Kiel.
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2021 | Conference Paper | LibreCat-ID: 29308 | OA
Ebbers, J., & Haeb-Umbach, R. (2021). Self-Trained Audio Tagging and Sound Event Detection in Domestic Environments. Proceedings of the 6th Detection and Classification of Acoustic Scenes and Events 2021 Workshop (DCASE2021), 226–230.
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2021 | Conference Paper | LibreCat-ID: 29306 | OA
Ebbers, J., Keyser, M. C., & Haeb-Umbach, R. (2021). Adapting Sound Recognition to A New Environment Via Self-Training. Proceedings of the 29th European Signal Processing Conference (EUSIPCO), 1135–1139.
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2021 | Journal Article | LibreCat-ID: 24456 | OA
Rohlfing, K. J., Cimiano, P., Scharlau, I., Matzner, T., Buhl, H. M., Buschmeier, H., Esposito, E., Grimminger, A., Hammer, B., Haeb-Umbach, R., Horwath, I., Hüllermeier, E., Kern, F., Kopp, S., Thommes, K., Ngonga Ngomo, A.-C., Schulte, C., Wachsmuth, H., Wagner, P., & Wrede, B. (2021). Explanation as a Social Practice: Toward a Conceptual Framework for the Social Design of AI Systems. IEEE Transactions on Cognitive and Developmental Systems, 13(3), 717–728. https://doi.org/10.1109/tcds.2020.3044366
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2020 | Conference Paper | LibreCat-ID: 17763 | OA
Haeb-Umbach, R. (2020). Sprachtechnologien für Digitale Assistenten. In R. Böck, I. Siegert, & A. Wendemuth (Eds.), Studientexte zur Sprachkommunikation: Elektronische Sprachsignalverarbeitung 2020 (pp. 227–234). TUDpress, Dresden.
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2020 | Conference Paper | LibreCat-ID: 20695 | OA
Boeddeker, C., Nakatani, T., Kinoshita, K., & Haeb-Umbach, R. (2020). Jointly Optimal Dereverberation and Beamforming. In ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). https://doi.org/10.1109/icassp40776.2020.9054393
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2020 | Conference Paper | LibreCat-ID: 20700 | OA
Boeddeker, C., Cord-Landwehr, T., Heitkaemper, J., Zorila, C., Hayakawa, D., Li, M., … Haeb-Umbach, R. (2020). Towards a speaker diarization system for the CHiME 2020 dinner party transcription. In Proc. CHiME 2020 Workshop on Speech Processing in Everyday Environments.
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2020 | Journal Article | LibreCat-ID: 17598 | OA
Nakatani, T., Boeddeker, C., Kinoshita, K., Ikeshita, R., Delcroix, M., & Haeb-Umbach, R. (2020). Jointly optimal denoising, dereverberation, and source separation. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 1–1. https://doi.org/10.1109/TASLP.2020.3013118
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2020 | Conference Paper | LibreCat-ID: 20504
Heitkaemper, J., Jakobeit, D., Boeddeker, C., Drude, L., & Haeb-Umbach, R. (2020). Demystifying TasNet: A Dissecting Approach. ICASSP 2020 Virtual Barcelona Spain.
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2020 | Preprint | LibreCat-ID: 28263
Watanabe, S., Mandel, M., Barker, J., Vincent, E., Arora, A., Chang, X., Khudanpur, S., Manohar, V., Povey, D., Raj, D., Snyder, D., Subramanian, A. S., Trmal, J., Yair, B. B., Boeddeker, C., Ni, Z., Fujita, Y., Horiguchi, S., Kanda, N., … Ryant, N. (2020). CHiME-6 Challenge:Tackling Multispeaker Speech Recognition for  Unsegmented Recordings. In arXiv:2004.09249.
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2020 | Conference Paper | LibreCat-ID: 20505
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.
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2020 | Conference Paper | LibreCat-ID: 20762 | OA
von Neumann, T., Kinoshita, K., Drude, L., Boeddeker, C., Delcroix, M., Nakatani, T., & Haeb-Umbach, R. (2020). End-to-End Training of Time Domain Audio Separation and Recognition. ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 7004–7008. https://doi.org/10.1109/ICASSP40776.2020.9053461
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2020 | Conference Paper | LibreCat-ID: 20764 | OA
von Neumann, T., Boeddeker, C., Drude, L., Kinoshita, K., Delcroix, M., Nakatani, T., & Haeb-Umbach, R. (2020). Multi-Talker ASR for an Unknown Number of Sources: Joint Training of Source Counting, Separation and ASR. Proc. Interspeech 2020, 3097–3101. https://doi.org/10.21437/Interspeech.2020-2519
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2020 | Conference Paper | LibreCat-ID: 18651 | OA
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).
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2020 | Conference Paper | LibreCat-ID: 20766 | OA
Kinoshita, K., von Neumann, T., Delcroix, M., Nakatani, T., & Haeb-Umbach, R. (2020). Multi-Path RNN for Hierarchical Modeling of Long Sequential Data and its Application to Speaker Stream Separation. Proc. Interspeech 2020, 2652–2656. https://doi.org/10.21437/Interspeech.2020-2388
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2020 | Conference Paper | LibreCat-ID: 20753 | OA
Ebbers, J., & Haeb-Umbach, R. (2020). Forward-Backward Convolutional Recurrent Neural Networks and Tag-Conditioned Convolutional Neural Networks for Weakly Labeled Semi-Supervised Sound Event Detection. Proceedings of the Detection and Classification of Acoustic Scenes and Events 2020 Workshop (DCASE2020).
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2019 | Journal Article | LibreCat-ID: 17762
Haeb-Umbach, R. (2019). Lektionen für Alexa \& Co?! Forschung, 44(1), 12–15. https://doi.org/10.1002/fors.201970104
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2019 | Journal Article | LibreCat-ID: 19446 | OA
Drude, L., Heitkaemper, J., Boeddeker, C., & Haeb-Umbach, R. (2019). SMS-WSJ: Database, performance measures, and baseline recipe for multi-channel source separation and recognition. ArXiv E-Prints.
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2019 | Conference Paper | LibreCat-ID: 11965 | OA
Drude, L., Heymann, J., & Haeb-Umbach, R. (2019). Unsupervised training of neural mask-based beamforming. In INTERSPEECH 2019, Graz, Austria.
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2019 | Conference Paper | LibreCat-ID: 12874 | OA
Drude, L., Hasenklever, D., & Haeb-Umbach, R. (2019). Unsupervised Training of a Deep Clustering Model for Multichannel Blind Source Separation. In ICASSP 2019, Brighton, UK.
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2019 | Conference Paper | LibreCat-ID: 12875 | OA
Heymann, J., Drude, L., Haeb-Umbach, R., Kinoshita, K., & Nakatani, T. (2019). Joint Optimization of Neural Network-based WPE Dereverberation and Acoustic Model for Robust Online ASR. In ICASSP 2019, Brighton, UK.
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2019 | Conference Paper | LibreCat-ID: 12876 | OA
Kurz, G., Gilitschenski, I., Pfaff, F., Drude, L., Hanebeck, U. D., Haeb-Umbach, R., & Siegwart, R. Y. (2019). Directional Statistics and Filtering Using libDirectional. In Journal of Statistical Software 89(4).
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2019 | Journal Article | LibreCat-ID: 12890 | OA
Drude, L., & Haeb-Umbach, R. (2019). Integration of Neural Networks and Probabilistic Spatial Models for Acoustic Blind Source Separation. IEEE Journal of Selected Topics in Signal Processing. https://doi.org/10.1109/JSTSP.2019.2912565
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2019 | Conference Paper | LibreCat-ID: 15812 | OA
Heymann, J., & Khe Chai Sim, B. L. (2019). Improving CTC Using Stimulated Learning for Sequence Modeling. In ICASSP 2019, Brighton, UK.
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2019 | Conference Paper | LibreCat-ID: 15816 | OA
Zorila, C., Boeddeker, C., Doddipatla, R., & Haeb-Umbach, R. (2019). An Investigation Into the Effectiveness of Enhancement in ASR Training and Test for Chime-5 Dinner Party Transcription. In ASRU 2019, Sentosa, Singapore.
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2019 | Conference Paper | LibreCat-ID: 14822 | OA
Heitkaemper, J., Feher, T., Freitag, M., & Haeb-Umbach, R. (2019). A Study on Online Source Extraction in the Presence of Changing Speaker Positions. In International Conference on Statistical Language and Speech Processing 2019, Ljubljana, Slovenia.
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2019 | Conference Paper | LibreCat-ID: 14824 | OA
Martin-Donas, J. M., Heitkaemper, J., Haeb-Umbach, R., Gomez, A. M., & Peinado, A. M. (2019). Multi-Channel Block-Online Source Extraction based on Utterance Adaptation. In INTERSPEECH 2019, Graz, Austria.
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2019 | Conference Paper | LibreCat-ID: 14826 | OA
Kanda, N., Boeddeker, C., Heitkaemper, J., Fujita, Y., Horiguchi, S., & Haeb-Umbach, R. (2019). Guided Source Separation Meets a Strong ASR Backend: Hitachi/Paderborn University Joint Investigation for Dinner Party ASR. In INTERSPEECH 2019, Graz, Austria.
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2019 | Conference Paper | LibreCat-ID: 13271 | OA
von Neumann, T., Kinoshita, K., Delcroix, M., Araki, S., Nakatani, T., & Haeb-Umbach, R. (2019). All-neural Online Source Separation, Counting, and Diarization for Meeting Analysis. In ICASSP 2019, Brighton, UK.
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2019 | Journal Article | LibreCat-ID: 15814 | OA
Haeb-Umbach, R., Watanabe, S., Nakatani, T., Bacchiani, M., Hoffmeister, B., Seltzer, M. L., Zen, H., & Souden, M. (2019). Speech Processing for Digital Home Assistance: Combining Signal Processing With Deep-Learning Techniques. IEEE Signal Processing Magazine, 36(6), 111–124. https://doi.org/10.1109/MSP.2019.2918706
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2019 | Journal Article | LibreCat-ID: 19450 | OA
Haeb-Umbach, R. (2019). Lektionen für Alexa & Co?! DFG Forschung 1/2019, 12–15. https://doi.org/10.1002/fors.201970104
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2019 | Conference Paper | LibreCat-ID: 15237 | OA
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
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2019 | Conference Paper | LibreCat-ID: 15794 | OA
Ebbers, J., & Haeb-Umbach, R. (2019). Convolutional Recurrent Neural Network and Data Augmentation for Audio Tagging with Noisy Labels and Minimal Supervision. DCASE2019 Workshop, New York, USA.
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2019 | Conference Paper | LibreCat-ID: 15796 | OA
Ebbers, J., Drude, L., Haeb-Umbach, R., Brendel, A., & Kellermann, W. (2019). Weakly Supervised Sound Activity Detection and Event Classification in Acoustic Sensor Networks. CAMSAP 2019, Guadeloupe, West Indies.
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2019 | Conference Paper | LibreCat-ID: 15792 | OA
Nelus, A., Ebbers, J., Haeb-Umbach, R., & Martin, R. (2019). Privacy-preserving Variational Information Feature Extraction for Domestic Activity Monitoring Versus Speaker Identification. INTERSPEECH 2019, Graz, Austria.
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2018 | Conference Paper | LibreCat-ID: 18107
Heymann, J., Bacchiani, M., & Sainath, T. N. (2018). Performance of Mask Based Statistical Beamforming in a Smart Home Scenario. In 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 6722–6726). https://doi.org/10.1109/ICASSP.2018.8462372
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2018 | Conference Paper | LibreCat-ID: 11760 | OA
Ebbers, J., Nelus, A., Martin, R., & Haeb-Umbach, R. (2018). Evaluation of Modulation-MFCC Features and DNN Classification for Acoustic Event Detection. In DAGA 2018, München.
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2018 | Conference Paper | LibreCat-ID: 11835 | OA
Heymann, J., Drude, L., Haeb-Umbach, R., Kinoshita, K., & Nakatani, T. (2018). Frame-Online DNN-WPE Dereverberation. In IWAENC 2018, Tokio, Japan.
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2018 | Conference Paper | LibreCat-ID: 11837 | OA
Heitkaemper, J., Heymann, J., & Haeb-Umbach, R. (2018). Smoothing along Frequency in Online Neural Network Supported Acoustic Beamforming. In ITG 2018, Oldenburg, Germany.
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2018 | Conference Paper | LibreCat-ID: 11872 | OA
Drude, L., Boeddeker, C., Heymann, J., Kinoshita, K., Delcroix, M., Nakatani, T., & Haeb-Umbach, R. (2018). Integration neural network based beamforming and weighted prediction error dereverberation. In INTERSPEECH 2018, Hyderabad, India.
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2018 | Conference Paper | LibreCat-ID: 11873 | OA
Drude, L., Heymann, J., Boeddeker, C., & Haeb-Umbach, R. (2018). NARA-WPE: A Python package for weighted prediction error dereverberation in Numpy and Tensorflow for online and offline processing. In ITG 2018, Oldenburg, Germany.
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2018 | Journal Article | LibreCat-ID: 11916 | OA
Despotovic, V., Walter, O., & Haeb-Umbach, R. (2018). Machine learning techniques for semantic analysis of dysarthric speech: An experimental study. Speech Communication 99 (2018) 242-251 (Elsevier B.V.).
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2018 | Conference Paper | LibreCat-ID: 12898 | OA
Drude, L., von Neumann, T., & Haeb-Umbach, R. (2018). Deep Attractor Networks for Speaker Re-Identifikation and Blind Source Separation. In ICASSP 2018, Calgary, Canada.
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2018 | Conference Paper | LibreCat-ID: 12900 | OA
Drude, L., Higuchi, Takuya , Kinoshita, K., Nakatani, T., & Haeb-Umbach, R. (2018). Dual Frequency- and Block-Permutation Alignment for Deep Learning Based Block-Online Blind Source Separation. In ICASSP 2018, Calgary, Canada.
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2018 | Conference Paper | LibreCat-ID: 12901 | OA
Boeddeker, C., Erdogan, H., Yoshioka, T., & Haeb-Umbach, R. (2018). Exploring Practical Aspects of Neural Mask-Based Beamforming for Far-Field Speech Recognition. In ICASSP 2018, Calgary, Canada.
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2018 | Conference Paper | LibreCat-ID: 29923 | OA
Watanabe, S., Hori, T., Karita, S., Hayashi, T., Nishitoba, J., Unno, Y., Enrique Yalta Soplin, N., Heymann, J., Wiesner, M., Chen, N., Renduchintala, A., & Ochiai, T. (2018). ESPnet: End-to-End Speech Processing Toolkit. INTERSPEECH 2018, Hyderabad, India, 2207–2211. https://doi.org/10.21437/Interspeech.2018-1456
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2018 | Conference Paper | LibreCat-ID: 12899 | OA
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.
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2018 | Conference Paper | LibreCat-ID: 6859
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.
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2018 | Conference Paper | LibreCat-ID: 11747 | OA
Grimm, C., Breddermann, T., Farhoud, R., Fei, T., Warsitz, E., & Haeb-Umbach, R. (2018). Discrimination of Stationary from Moving Targets with Recurrent Neural Networks in Automotive Radar. International Conference on Microwaves for Intelligent Mobility (ICMIM) 2018.
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2018 | Conference Paper | LibreCat-ID: 11907 | OA
Glarner, T., Hanebrink, P., Ebbers, J., & Haeb-Umbach, R. (2018). Full Bayesian Hidden Markov Model Variational Autoencoder for Acoustic Unit Discovery. INTERSPEECH 2018, Hyderabad, India.
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2018 | Conference Paper | LibreCat-ID: 11838 | OA
Schmalenstroeer, J., & Haeb-Umbach, R. (2018). Efficient Sampling Rate Offset Compensation - An Overlap-Save Based Approach. 26th European Signal Processing Conference (EUSIPCO 2018).
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2018 | Conference Paper | LibreCat-ID: 11876 | OA
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.
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2018 | Conference Paper | LibreCat-ID: 11836 | OA
Ebbers, J., Heitkaemper, J., Schmalenstroeer, J., & Haeb-Umbach, R. (2018). Benchmarking Neural Network Architectures for Acoustic Sensor Networks. ITG 2018, Oldenburg, Germany.
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2018 | Conference Paper | LibreCat-ID: 11839 | OA
Schmalenstroeer, J., & Haeb-Umbach, R. (2018). Insights into the Interplay of Sampling Rate Offsets and MVDR Beamforming. ITG 2018, Oldenburg, Germany.
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2017 | Conference Paper | LibreCat-ID: 11717 | OA
Arora, P., & Haeb-Umbach, R. (2017). A Study on Transfer Learning for Acoustic Event Detection in a Real Life Scenario. In IEEE 19th International Workshop on Multimedia Signal Processing (MMSP).
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2017 | Report | LibreCat-ID: 11735 | OA
Boeddeker, C., Hanebrink, P., Drude, L., Heymann, J., & Haeb-Umbach, R. (2017). On the Computation of Complex-valued Gradients with Application to Statistically Optimum Beamforming.
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2017 | Conference Paper | LibreCat-ID: 11736 | OA
Boeddeker, C., Hanebrink, P., Drude, L., Heymann, J., & Haeb-Umbach, R. (2017). Optimizing Neural-Network Supported Acoustic Beamforming by Algorithmic Differentiation. In Proc. IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP).
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2017 | Conference Paper | LibreCat-ID: 11737 | OA
Chinaev, A., & Haeb-Umbach, R. (2017). A Generalized Log-Spectral Amplitude Estimator for Single-Channel Speech Enhancement. In Proc. IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP).
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2017 | Conference Paper | LibreCat-ID: 11754 | OA
Drude, L., & Haeb-Umbach, R. (2017). Tight integration of spatial and spectral features for BSS with Deep Clustering embeddings. In INTERSPEECH 2017, Stockholm, Schweden.
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2017 | Conference Paper | LibreCat-ID: 11770 | OA
Glarner, T., Boenninghoff, B., Walter, O., & Haeb-Umbach, R. (2017). Leveraging Text Data for Word Segmentation for Underresourced Languages. In INTERSPEECH 2017, Stockholm, Schweden.
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2017 | Conference Paper | LibreCat-ID: 11809 | OA
Heymann, J., Drude, L., Boeddeker, C., Hanebrink, P., & Haeb-Umbach, R. (2017). BEAMNET: End-to-End Training of a Beamformer-Supported Multi-Channel ASR System. In Proc. IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP).
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2017 | Journal Article | LibreCat-ID: 11811 | OA
Heymann, J., Drude, L., & Haeb-Umbach, R. (2017). A Generic Neural Acoustic Beamforming Architecture for Robust Multi-Channel Speech Processing. Computer Speech and Language.
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2017 | Patent | LibreCat-ID: 12081
Jacob, F., & Schmalenstroeer, J. (2017). Building or Enclosure Termination Closing and/or Opening Apparatus, and Method for Operating a Building or Enclosure Termination.
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2017 | Conference Paper | LibreCat-ID: 11763 | OA
Fei, T., Grimm, C., Farhoud, R., Breddermann, T., Warsitz, E., & Haeb-Umbach, R. (2017). A Novel Target Separation Algorithm Applied to The Two-Dimensional Spectrum for FMCW Automotive Radar Systems. IEEE International Conference on Microwave, Communications, Anthenas and Electronic Systems.
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2017 | Conference Paper | LibreCat-ID: 11772 | OA
Grimm, C., Breddermann, T., Farhoud, R., Fei, T., Warsitz, E., & Haeb-Umbach, R. (2017). Hypothesis Test for the Detection of Moving Targets in Automotive Radar. IEEE International Conference on Microwave, Communications, Anthenas and Electronic Systems (COMCAS).
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2017 | Conference Paper | LibreCat-ID: 11759 | OA
Ebbers, J., Heymann, J., Drude, L., Glarner, T., Haeb-Umbach, R., & Raj, B. (2017). Hidden Markov Model Variational Autoencoder for Acoustic Unit Discovery. INTERSPEECH 2017, Stockholm, Schweden.
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2017 | Conference Paper | LibreCat-ID: 11895 | OA
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).
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2017 | Conference Paper | LibreCat-ID: 11773 | OA
Grimm, C., Farhoud, R., Fei, T., Warsitz, E., & Haeb-Umbach, R. (2017). Detection of Moving Targets in Automotive Radar with Distorted Ego-Velocity Information. IEEE Microwaves, Radar and Remote Sensing Symposium (MRRS).
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2016 | Conference Paper | LibreCat-ID: 11738 | OA
Chinaev, A., & Haeb-Umbach, R. (2016). A Priori SNR Estimation Using a Generalized Decision Directed Approach. In INTERSPEECH 2016, San Francisco, USA.
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2016 | Conference Paper | LibreCat-ID: 11743 | OA
Chinaev, A., Heitkaemper, J., & Haeb-Umbach, R. (2016). A Priori SNR Estimation Using Weibull Mixture Model. In 12. ITG Fachtagung Sprachkommunikation (ITG 2016).
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2016 | Conference Paper | LibreCat-ID: 11744 | OA
Chinaev, A., Heymann, J., Drude, L., & Haeb-Umbach, R. (2016). Noise-Presence-Probability-Based Noise PSD Estimation by Using DNNs. In 12. ITG Fachtagung Sprachkommunikation (ITG 2016).
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2016 | Conference Paper | LibreCat-ID: 11751 | OA
Drude, L., Boeddeker, C., & Haeb-Umbach, R. (2016). Blind Speech Separation based on Complex Spherical k-Mode Clustering. In Proc. IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP).
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2016 | Conference Paper | LibreCat-ID: 11756 | OA
Drude, L., Raj, B., & Haeb-Umbach, R. (2016). On the appropriateness of complex-valued neural networks for speech enhancement. In INTERSPEECH 2016, San Francisco, USA.
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2016 | Conference Paper | LibreCat-ID: 11771 | OA
Glarner, T., Mahdi Momenzadeh, M., Drude, L., & Haeb-Umbach, R. (2016). Factor Graph Decoding for Speech Presence Probability Estimation. In 12. ITG Fachtagung Sprachkommunikation (ITG 2016).
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2016 | Conference Paper | LibreCat-ID: 11812 | OA
Heymann, J., Drude, L., & Haeb-Umbach, R. (2016). Neural Network Based Spectral Mask Estimation for Acoustic Beamforming. In Proc. IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP).
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2016 | Conference Paper | LibreCat-ID: 11829 | OA
Jacob, F., & Haeb-Umbach, R. (2016). On the Bias of Direction of Arrival Estimation Using Linear Microphone Arrays. In 12. ITG Fachtagung Sprachkommunikation (ITG 2016).
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2016 | Conference Paper | LibreCat-ID: 11834 | OA
Heymann, J., Drude, L., & Haeb-Umbach, R. (2016). Wide Residual BLSTM Network with Discriminative Speaker Adaptation for Robust Speech Recognition. In Computer Speech and Language.
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2016 | Journal Article | LibreCat-ID: 11840 | OA
Kinoshita, K., Delcroix, M., Gannot, S., Habets, E. A. P., Haeb-Umbach, R., Kellermann, W., … Yoshioka, T. (2016). A summary of the REVERB challenge: state-of-the-art and remaining challenges in reverberant speech processing research. EURASIP Journal on Advances in Signal Processing.
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2016 | Journal Article | LibreCat-ID: 11886
Plinge, A., Jacob, F., Haeb-Umbach, R., & Fink, G. A. (2016). Acoustic Microphone Geometry Calibration: An overview and experimental evaluation of state-of-the-art algorithms. IEEE Signal Processing Magazine, 33(4), 14–29. https://doi.org/10.1109/MSP.2016.2555198
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2016 | Conference Paper | LibreCat-ID: 11908 | OA
Menne, T., Heymann, J., Alexandridis, A., Irie, K., Zeyer, A., Kitza, M., … Mouchtaris, A. (2016). The RWTH/UPB/FORTH System Combination for the 4th CHiME Challenge Evaluation. In Computer Speech and Language.
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2016 | Conference Paper | LibreCat-ID: 11920 | OA
Walter, O., & Haeb-Umbach, R. (2016). Unsupervised Word Discovery from Speech using Bayesian Hierarchical Models. In 38th German Conference on Pattern Recognition (GCPR 2016).
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2016 | Conference Paper | LibreCat-ID: 11890 | OA
Schmalenstroeer, J., & Haeb-Umbach, R. (2016). Investigations into Bluetooth Low Energy Localization Precision Limits. 24th European Signal Processing Conference (EUSIPCO 2016).
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2015 | Conference Paper | LibreCat-ID: 11739 | OA
Chinaev, A., & Haeb-Umbach, R. (2015). On Optimal Smoothing in Minimum Statistics Based Noise Tracking. In Interspeech 2015 (pp. 1785–1789).
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2015 | Conference Paper | LibreCat-ID: 11748 | OA
Despotovic, V., Walter, O., & Haeb-Umbach, R. (2015). Semantic Analysis of Spoken Input using Markov Logic Networks. In INTERSPEECH 2015.
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2015 | Conference Paper | LibreCat-ID: 11755 | OA
Drude, L., Jacob, F., & Haeb-Umbach, R. (2015). DOA-Estimation based on a Complex Watson Kernel Method. In 23th European Signal Processing Conference (EUSIPCO 2015).
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2015 | Conference Paper | LibreCat-ID: 11810
Heymann, J., Drude, L., Chinaev, A., & Haeb-Umbach, R. (2015). BLSTM supported GEV Beamformer Front-End for the 3RD CHiME Challenge. In Automatic Speech Recognition and Understanding Workshop (ASRU 2015).
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2015 | Conference Paper | LibreCat-ID: 11813 | OA
Heymann, J., Haeb-Umbach, R., Golik, P., & Schlueter, R. (2015). Unsupervised adaptation of a denoising autoencoder by Bayesian Feature Enhancement for reverberant asr under mismatch conditions. In Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on (pp. 5053–5057). https://doi.org/10.1109/ICASSP.2015.7178933
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2015 | Journal Article | LibreCat-ID: 11830 | OA
Jacob, F., & Haeb-Umbach, R. (2015). Absolute Geometry Calibration of Distributed Microphone Arrays in an Audio-Visual Sensor Network. ArXiv E-Prints.
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2015 | Book | LibreCat-ID: 11868 | OA
Li, J., Deng, L., Haeb-Umbach, R., & Gong, Y. (2015). Robust Automatic Speech Recognition. Elsevier.
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2015 | Conference Paper | LibreCat-ID: 11875 | OA
Marchi, E., Schuller, B., Baron-Cohen, S., Golan, O., Boelte, S., Arora, P., & Haeb-Umbach, R. (2015). Typicality and Emotion in the Voice of Children with Autism Spectrum Condition: Evidence Across Three Languages. In INTERSPEECH 2015.
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2015 | Conference Paper | LibreCat-ID: 11919 | OA
Walter, O., Drude, L., & Haeb-Umbach, R. (2015). Source Counting in Speech Mixtures by Nonparametric Bayesian Estimation of an infinite Gaussian Mixture Model. In 40th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2015).
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2015 | Journal Article | LibreCat-ID: 11922 | OA
Walter, O., Haeb-Umbach, R., Mokbel, B., Paassen, B., & Hammer, B. (2015). Autonomous Learning of Representations. KI - Kuenstliche Intelligenz, 1–13. http://dx.doi.org/10.1007/s13218-015-0372-1
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2015 | Report | LibreCat-ID: 11923 | OA
Walter, O., Haeb-Umbach, R., Strunk, J., & P. Himmelmann, N. (2015). Lexicon Discovery for Language Preservation using Unsupervised Word Segmentation with Pitman-Yor Language Models (FGNT-2015-01).
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2015 | Conference Paper | LibreCat-ID: 11874 | OA
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).
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2014 | Conference Paper | LibreCat-ID: 11746 | OA
Chinaev, A., Puels, M., & Haeb-Umbach, R. (2014). Spectral Noise Tracking for Improved Nonstationary Noise Robust ASR. In 11. ITG Fachtagung Sprachkommunikation (ITG 2014).
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2014 | Conference Paper | LibreCat-ID: 11752 | OA
Drude, L., Chinaev, A., Tran Vu, D. H., & Haeb-Umbach, R. (2014). Source Counting in Speech Mixtures Using a Variational EM Approach for Complexwatson Mixture Models. In 39th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014).
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2014 | Conference Paper | LibreCat-ID: 11753 | OA
Drude, L., Chinaev, A., Tran Vu, D. H., & Haeb-Umbach, R. (2014). Towards Online Source Counting in Speech Mixtures Applying a Variational EM for Complex Watson Mixture Models. In 14th International Workshop on Acoustic Signal Enhancement (IWAENC 2014) (pp. 213–217).
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2014 | Conference Paper | LibreCat-ID: 11814 | OA
Heymann, J., Walter, O., Haeb-Umbach, R., & Raj, B. (2014). Iterative Bayesian Word Segmentation for Unspuervised Vocabulary Discovery from Phoneme Lattices. In 39th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014).
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2014 | Conference Paper | LibreCat-ID: 11831 | OA
Jacob, F., & Haeb-Umbach, R. (2014). Coordinate Mapping Between an Acoustic and Visual Sensor Network in the Shape Domain for a Joint Self-Calibrating Speaker Tracking. In 11. ITG Fachtagung Sprachkommunikation (ITG 2014).
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2014 | Journal Article | LibreCat-ID: 11861
Leutnant, V., Krueger, A., & Haeb-Umbach, R. (2014). A New Observation Model in the Logarithmic Mel Power Spectral Domain for the Automatic Recognition of Noisy Reverberant Speech. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 22(1), 95–109. https://doi.org/10.1109/TASLP.2013.2285480
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2014 | Journal Article | LibreCat-ID: 11867 | OA
Li, J., Deng, L., Gong, Y., & Haeb-Umbach, R. (2014). An Overview of Noise-Robust Automatic Speech Recognition. IEEE Transactions on Audio, Speech and Language Processing, 22(4), 745–777. https://doi.org/10.1109/TASLP.2014.2304637
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2014 | Conference Paper | LibreCat-ID: 11918 | OA
Walter, O., Despotovic, V., Haeb-Umbach, R., Gemmeke, J., Ons, B., & Van hamme, H. (2014). An Evaluation of Unsupervised Acoustic Model Training for a Dysarthric Speech Interface. In INTERSPEECH 2014.
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2014 | Journal Article | LibreCat-ID: 11898 | OA
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
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2014 | Conference Paper | LibreCat-ID: 11897 | OA
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).
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2014 | Conference Paper | LibreCat-ID: 11903 | OA
Schmalenstroeer, J., Zhao, W., & Haeb-Umbach, R. (2014). Online Observation Error Model Estimation for Acoustic Sensor Network Synchronization. 11. ITG Fachtagung Sprachkommunikation (ITG 2014).
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2013 | Conference Paper | LibreCat-ID: 11716
Abdelaziz, A. H., Zeiler, S., Kolossa, D., Leutnant, V., & Haeb-Umbach, R. (2013). GMM-based significance decoding. In Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on (pp. 6827–6831). https://doi.org/10.1109/ICASSP.2013.6638984
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2013 | Conference Paper | LibreCat-ID: 11740 | OA
Chinaev, A., & Haeb-Umbach, R. (2013). MAP-based Estimation of the Parameters of a Gaussian Mixture Model in the Presence of Noisy Observations. In 38th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2013) (pp. 3352–3356). https://doi.org/10.1109/ICASSP.2013.6638279
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2013 | Conference Paper | LibreCat-ID: 11742 | OA
Chinaev, A., Haeb-Umbach, R., Taghia, J., & Martin, R. (2013). Improved Single-Channel Nonstationary Noise Tracking by an Optimized MAP-based Postprocessor. In 38th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2013) (pp. 7477–7481). https://doi.org/10.1109/ICASSP.2013.6639116
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2013 | Conference Paper | LibreCat-ID: 11762 | OA
Enzner, G., Schmid, D., & Haeb-Umbach, R. (2013). On the Acoustic Channel Identification in Multi-Microphone Systems via Adaptive Blind Signal Enhancement Techniques. In 21th European Signal Processing Conference (EUSIPCO 2013).
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2013 | Conference Paper | LibreCat-ID: 11815 | OA
Heymann, J., Walter, O., Haeb-Umbach, R., & Raj, B. (2013). Unsupervised Word Segmentation from Noisy Input. In Automatic Speech Recognition and Understanding Workshop (ASRU 2013).
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2013 | Conference Paper | LibreCat-ID: 11816 | OA
Hoang, M. K., & Haeb-Umbach, R. (2013). Parameter estimation and classification of censored Gaussian data with application to WiFi indoor positioning. In 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013) (pp. 3721–3725). https://doi.org/10.1109/ICASSP.2013.6638353
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2013 | Conference Paper | LibreCat-ID: 11841 | OA
Kinoshita, K., Delcroix, M., Yoshioka, T., Nakatani, T., Habets, E., Haeb-Umbach, R., … Raj, B. (2013). The reverb challenge: a common evaluation framework for dereverberation and recognition of reverberant speech. In IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (pp. 22–23).
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2013 | Journal Article | LibreCat-ID: 11862
Leutnant, V., Krueger, A., & Haeb-Umbach, R. (2013). Bayesian Feature Enhancement for Reverberation and Noise Robust Speech Recognition. IEEE Transactions on Audio, Speech, and Language Processing, 21(8), 1640–1652. https://doi.org/10.1109/TASL.2013.2258013
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2013 | Conference Paper | LibreCat-ID: 11909 | OA
Tran Vu, D. H., & Haeb-Umbach, R. (2013). Blind Speech Separation Exploiting Temporal and Spectral Correlations Using Turbo Decoding of 2D-HMMs. In 21th European Signal Processing Conference (EUSIPCO 2013).
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2013 | Conference Paper | LibreCat-ID: 11917
Vu, D. H. T., & Haeb-Umbach, R. (2013). Using the turbo principle for exploiting temporal and spectral correlations in speech presence probability estimation. In 38th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2013) (pp. 863–867). https://doi.org/10.1109/ICASSP.2013.6637771
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2013 | Conference Paper | LibreCat-ID: 11921 | OA
Walter, O., Haeb-Umbach, R., Chaudhuri, S., & Raj, B. (2013). Unsupervised Word Discovery from Phonetic Input Using Nested Pitman-Yor Language Modeling. In IEEE International Conference on Robotics and Automation (ICRA 2013).
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2013 | Conference Paper | LibreCat-ID: 11924 | OA
Walter, O., Korthals, T., Haeb-Umbach, R., & Raj, B. (2013). Hierarchical System for Word Discovery Exploiting DTW-Based Initialization. In Automatic Speech Recognition and Understanding Workshop (ASRU 2013).
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2013 | Report | LibreCat-ID: 11926 | OA
Walter, O., Schmalenstroeer, J., & Haeb-Umbach, R. (2013). A Novel Initialization Method for Unsupervised Learning of Acoustic Patterns in Speech (FGNT-2013-01).
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2013 | Conference Paper | LibreCat-ID: 11832 | OA
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
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2013 | Conference Paper | LibreCat-ID: 11891 | OA
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).
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2013 | Conference Paper | LibreCat-ID: 11818 | OA
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
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2013 | Conference Paper | LibreCat-ID: 11817 | OA
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).
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2012 | Conference Paper | LibreCat-ID: 11741 | OA
Chinaev, A., & Haeb-Umbach, R. (2012). Quality Analysis and Optimization of the MAP-based Noise Power Spectral Density Tracker. In Speech Communication; 10. ITG Symposium; Proceedings.
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2012 | Conference Paper | LibreCat-ID: 11745 | OA
Chinaev, A., Krueger, A., Tran Vu, D. H., & Haeb-Umbach, R. (2012). Improved Noise Power Spectral Density Tracking by a MAP-based Postprocessor. In 37th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2012).
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2012 | Book Chapter | LibreCat-ID: 11844
Krueger, A., & Haeb-Umbach, R. (2012). Reverberant Speech Recognition. In Techniques for Noise Robustness in Automatic Speech Recognition. Wiley.
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2012 | Conference Paper | LibreCat-ID: 11849 | OA
Krueger, A., Walter, O., Leutnant, V., & Haeb-Umbach, R. (2012). Bayesian Feature Enhancement for ASR of Noisy Reverberant Real-World Data. In Proc. Interspeech. Portland, USA.
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2012 | Journal Article | LibreCat-ID: 11863 | OA
Leutnant, V., Krueger, A., & Haeb-Umbach, R. (2012). Investigations Into a Statistical Observation Model for Logarithmic Mel Power Spectral Density Features of Noisy Reverberant Speech. Speech Communication; 10. ITG Symposium; Proceedings Of, 1–4.
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2012 | Conference Paper | LibreCat-ID: 11864 | OA
Leutnant, V., Krueger, A., & Haeb-Umbach, R. (2012). A Statistical Observation Model For Noisy Reverberant Speech Features and its Application to Robust ASR. In Signal Processing, Communications and Computing (ICSPCC), 2012 IEEE International Conference on.
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2012 | Report | LibreCat-ID: 11865 | OA
Leutnant, V., Krueger, A., & Haeb-Umbach, R. (2012). Derivation of the Power Compensation Constant in the Observation Model for Reverberant Speech in the Logarithmic Mel Power Spectral Domain.
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2012 | Conference Paper | LibreCat-ID: 11910
Tran Vu, D. H., & Haeb-Umbach, R. (2012). Exploiting Temporal Correlations in Joint Multichannel Speech Separation and Noise Suppression using Hidden Markov Models. In International Workshop on Acoustic Signal Enhancement (IWAENC2012).
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2012 | Conference Paper | LibreCat-ID: 11833 | OA
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).
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2012 | Conference Paper | LibreCat-ID: 11925 | OA
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).
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2011 | Conference Paper | LibreCat-ID: 11721 | OA
Bevermeier, M., Flanke, S., Haeb-Umbach, R., & Stehr, J. (2011). A Platform for efficient Supply Chain Management Support in Logistics. In International Workshop on Intelligent Transportation (WIT 2011).
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2011 | Book Chapter | LibreCat-ID: 11774
Haeb-Umbach, R. (2011). Uncertainty Decoding and Conditional Bayesian Estimation. In R. Haeb-Umbach & D. Kolossa (Eds.), Robust Speech Recognition of Uncertain or Missing Data. Springer.
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2011 | Book Chapter | LibreCat-ID: 11775
Haeb-Umbach, R. (2011). Können Computer sprechen und hören, sollen sie es überhaupt können? Sprachverarbeitung und ambiente Intelligenz. In Baustelle Informationsgesellschaft und Universität heute. Ferdinand Schoeningh Verlag, Paderborn.
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2011 | Journal Article | LibreCat-ID: 11807
Herbig, T., Gerl, F., Minker, W., & Haeb-Umbach, R. (2011). Adaptive Systems for Unsupervised Speaker Tracking and Speech Recognition. Evolving Systems, 2(3), 199–214.
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2011 | Book Chapter | LibreCat-ID: 11843
Krueger, A., & Haeb-Umbach, R. (2011). A Model-Based Approach to Joint Compensation of Noise and Reverberation for Speech Recognition. In R. Haeb-Umbach & D. Kolossa (Eds.), Robust Speech Recognition of Uncertain or Missing Data. Springer.
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2011 | Conference Paper | LibreCat-ID: 11845 | OA
Krueger, A., & Haeb-Umbach, R. (2011). MAP-based estimation of the parameters of non-stationary Gaussian processes from noisy observations. In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2011) (pp. 3596–3599). https://doi.org/10.1109/ICASSP.2011.5946256
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2011 | Journal Article | LibreCat-ID: 11850 | OA
Krueger, A., Warsitz, E., & Haeb-Umbach, R. (2011). Speech Enhancement With a GSC-Like Structure Employing Eigenvector-Based Transfer Function Ratios Estimation. IEEE Transactions on Audio, Speech, and Language Processing, 19(1), 206–219. https://doi.org/10.1109/TASL.2010.2047324
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2011 | Book Chapter | LibreCat-ID: 11856
Leutnant, V., & Haeb-Umbach, R. (2011). Conditional Bayesian Estimation Employing a Phase-Sensitive Observation Model for Noise Robust Speech Recognition. In R. Haeb-Umbach & D. Kolossa (Eds.), Robust Speech Recognition of Uncertain or Missing Data. Springer.
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2011 | Conference Paper | LibreCat-ID: 11866 | OA
Leutnant, V., Krueger, A., & Haeb-Umbach, R. (2011). A versatile Gaussian splitting approach to non-linear state estimation and its application to noise-robust ASR. In Interspeech 2011.
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2011 | Conference Paper | LibreCat-ID: 11911 | OA
Tran Vu, D. H., & Haeb-Umbach, R. (2011). On Initial Seed Selection for Frequency Domain Blind Speech Separation. In Interspeech 2011.
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2011 | Book (Editor) | LibreCat-ID: 11945 | OA
Kolossa, D., & Haeb-Umbach, R. (Eds.). (2011). Robust Speech Recognition of Uncertain or Missing Data --- Theory and Applications. Springer.
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2011 | Conference Paper | LibreCat-ID: 11889 | OA
Schmalenstroeer, J., Bartek, M., & Haeb-Umbach, R. (2011). Unsupervised learning of acoustic events using dynamic time warping and hierarchical K-means++ clustering. Interspeech 2011.
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2011 | Conference Paper | LibreCat-ID: 11896 | OA
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.
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2011 | Conference Paper | LibreCat-ID: 9456 | OA
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).
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2010 | Conference Paper | LibreCat-ID: 11726 | OA
Bevermeier, M., Walter, O., Peschke, S., & Haeb-Umbach, R. (2010). Barometric height estimation combined with map-matching in a loosely-coupled Kalman-filter. In 7th Workshop on Positioning Navigation and Communication (WPNC 2010) (pp. 128–134). https://doi.org/10.1109/WPNC.2010.5650745
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2010 | Journal Article | LibreCat-ID: 11846 | OA
Krueger, A., & Haeb-Umbach, R. (2010). Model-Based Feature Enhancement for Reverberant Speech Recognition. IEEE Transactions on Audio, Speech, and Language Processing, 18(7), 1692–1707. https://doi.org/10.1109/TASL.2010.2049684
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2010 | Conference Paper | LibreCat-ID: 11857 | OA
Leutnant, V., & Haeb-Umbach, R. (2010). Options for Modelling Temporal Statistical Dependencies in an Acoustic Model for ASR. In 36. Deutsche Jahrestagung fuer Akustik (DAGA 2010).
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2010 | Conference Paper | LibreCat-ID: 11858 | OA
Leutnant, V., & Haeb-Umbach, R. (2010). On the Exploitation of Hidden Markov Models and Linear Dynamic Models in a Hybrid Decoder Architecture for Continuous Speech Recognition. In Interspeech 2010.
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2010 | Conference Paper | LibreCat-ID: 11887 | OA
Raj, B., Wilson, K. W., Krueger, A., & Haeb-Umbach, R. (2010). Ungrounded Independent Non-Negative Factor Analysis. In Interspeech 2010.
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2010 | Conference Paper | LibreCat-ID: 11912 | OA
Tran Vu, D. H., & Haeb-Umbach, R. (2010). An EM Approach to Integrated Multichannel Speech Separation and Noise Suppression. In International Workshop on Acoustic Echo and Noise Control (IWAENC 2010).
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2010 | Conference Paper | LibreCat-ID: 11913 | OA
Tran Vu, D. H., & Haeb-Umbach, R. (2010). Blind speech separation employing directional statistics in an Expectation Maximization framework. In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2010) (pp. 241–244). https://doi.org/10.1109/ICASSP.2010.5495994
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