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307 Publications


2021 | Conference Paper | LibreCat-ID: 29304 | OA
Contrastive Predictive Coding Supported Factorized Variational Autoencoder for Unsupervised Learning of Disentangled Speech Representations
J. Ebbers, M. Kuhlmann, T. Cord-Landwehr, R. Haeb-Umbach, in: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021, pp. 3860–3864.
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2021 | Conference Paper | LibreCat-ID: 26770 | OA
Graph-PIT: Generalized Permutation Invariant Training for Continuous Separation of Arbitrary Numbers of Speakers
T. von Neumann, K. Kinoshita, C. Boeddeker, M. Delcroix, R. Haeb-Umbach, in: Interspeech 2021, 2021.
LibreCat | Files available | DOI
 

2021 | Conference Paper | LibreCat-ID: 29173 | OA
Speeding Up Permutation Invariant Training for Source Separation
T. von Neumann, C. Boeddeker, K. Kinoshita, M. Delcroix, R. Haeb-Umbach, in: Speech Communication; 14th ITG Conference, 2021.
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2021 | Conference Paper | LibreCat-ID: 29308 | OA
Self-Trained Audio Tagging and Sound Event Detection in Domestic Environments
J. Ebbers, R. Haeb-Umbach, in: Proceedings of the 6th Detection and Classification of Acoustic Scenes and Events 2021 Workshop (DCASE2021), Barcelona, Spain, 2021, pp. 226–230.
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2021 | Conference Paper | LibreCat-ID: 29306 | OA
Adapting Sound Recognition to A New Environment Via Self-Training
J. Ebbers, M.C. Keyser, R. Haeb-Umbach, in: Proceedings of the 29th European Signal Processing Conference (EUSIPCO), 2021, pp. 1135–1139.
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2021 | Journal Article | LibreCat-ID: 24456 | OA
Explanation as a Social Practice: Toward a Conceptual Framework for the Social Design of AI Systems
K.J. Rohlfing, P. Cimiano, I. Scharlau, T. Matzner, H.M. Buhl, H. Buschmeier, E. Esposito, A. Grimminger, B. Hammer, R. Haeb-Umbach, I. Horwath, E. Hüllermeier, F. Kern, S. Kopp, K. Thommes, A.-C. Ngonga Ngomo, C. Schulte, H. Wachsmuth, P. Wagner, B. Wrede, IEEE Transactions on Cognitive and Developmental Systems 13 (2021) 717–728.
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2020 | Conference Paper | LibreCat-ID: 17763 | OA
Sprachtechnologien für Digitale Assistenten
R. Haeb-Umbach, in: R. Böck, I. Siegert, A. Wendemuth (Eds.), Studientexte Zur Sprachkommunikation: Elektronische Sprachsignalverarbeitung 2020, TUDpress, Dresden, 2020, pp. 227–234.
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2020 | Conference Paper | LibreCat-ID: 20700 | OA
Towards a speaker diarization system for the CHiME 2020 dinner party transcription
C. Boeddeker, T. Cord-Landwehr, J. Heitkaemper, C. Zorila, D. Hayakawa, M. Li, M. Liu, R. Doddipatla, R. Haeb-Umbach, in: Proc. CHiME 2020 Workshop on Speech Processing in Everyday Environments, 2020.
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2020 | Journal Article | LibreCat-ID: 17598 | OA
Jointly optimal denoising, dereverberation, and source separation
T. Nakatani, C. Boeddeker, K. Kinoshita, R. Ikeshita, M. Delcroix, R. Haeb-Umbach, IEEE/ACM Transactions on Audio, Speech, and Language Processing (2020) 1–1.
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2020 | Conference Paper | LibreCat-ID: 20504
Demystifying TasNet: A Dissecting Approach
J. Heitkaemper, D. Jakobeit, C. Boeddeker, L. Drude, R. Haeb-Umbach, in: ICASSP 2020 Virtual Barcelona Spain, 2020.
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2020 | Conference Paper | LibreCat-ID: 20505
Statistical and Neural Network Based Speech Activity Detection in Non-Stationary Acoustic Environments
J. Heitkaemper, J. Schmalenstroeer, R. Haeb-Umbach, in: INTERSPEECH 2020 Virtual Shanghai China, 2020.
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2020 | Conference Paper | LibreCat-ID: 20762 | OA
End-to-End Training of Time Domain Audio Separation and Recognition
T. von Neumann, K. Kinoshita, L. Drude, C. Boeddeker, M. Delcroix, T. Nakatani, R. Haeb-Umbach, in: ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020, pp. 7004–7008.
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2020 | Conference Paper | LibreCat-ID: 20764 | OA
Multi-Talker ASR for an Unknown Number of Sources: Joint Training of Source Counting, Separation and ASR
T. von Neumann, C. Boeddeker, L. Drude, K. Kinoshita, M. Delcroix, T. Nakatani, R. Haeb-Umbach, in: Proc. Interspeech 2020, 2020, pp. 3097–3101.
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2020 | Conference Paper | LibreCat-ID: 18651 | OA
Deep Neural Network based Distance Estimation for Geometry Calibration in Acoustic Sensor Network
T. Gburrek, J. Schmalenstroeer, A. Brendel, W. Kellermann, R. Haeb-Umbach, in: European Signal Processing Conference (EUSIPCO), 2020.
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2020 | Conference Paper | LibreCat-ID: 20766 | OA
Multi-Path RNN for Hierarchical Modeling of Long Sequential Data and its Application to Speaker Stream Separation
K. Kinoshita, T. von Neumann, M. Delcroix, T. Nakatani, R. Haeb-Umbach, in: Proc. Interspeech 2020, 2020, pp. 2652–2656.
LibreCat | Files available | DOI
 

2020 | Conference Paper | LibreCat-ID: 20753 | OA
Forward-Backward Convolutional Recurrent Neural Networks and Tag-Conditioned Convolutional Neural Networks for Weakly Labeled Semi-Supervised Sound Event Detection
J. Ebbers, R. Haeb-Umbach, in: Proceedings of the Detection and Classification of Acoustic Scenes and Events 2020 Workshop (DCASE2020), 2020.
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2019 | Journal Article | LibreCat-ID: 17762
Lektionen für Alexa \& Co?!
R. Haeb-Umbach, Forschung 44 (2019) 12–15.
LibreCat | DOI
 

2019 | Journal Article | LibreCat-ID: 19446 | OA
SMS-WSJ: Database, performance measures, and baseline recipe for multi-channel source separation and recognition
L. Drude, J. Heitkaemper, C. Boeddeker, R. Haeb-Umbach, ArXiv E-Prints (2019).
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2019 | Conference Paper | LibreCat-ID: 11965 | OA
Unsupervised training of neural mask-based beamforming
L. Drude, J. Heymann, R. Haeb-Umbach, in: INTERSPEECH 2019, Graz, Austria, 2019.
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2019 | Conference Paper | LibreCat-ID: 12874 | OA
Unsupervised Training of a Deep Clustering Model for Multichannel Blind Source Separation
L. Drude, D. Hasenklever, R. Haeb-Umbach, in: ICASSP 2019, Brighton, UK, 2019.
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