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317 Publications


2021 | Journal Article | LibreCat-ID: 22528 | OA
Geometry calibration in wireless acoustic sensor networks utilizing DoA and distance information
T. Gburrek, J. Schmalenstroeer, R. Haeb-Umbach, EURASIP Journal on Audio, Speech, and Music Processing (2021).
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2021 | Conference Paper | LibreCat-ID: 23994 | OA
Iterative Geometry Calibration from Distance Estimates for Wireless Acoustic Sensor Networks
T. Gburrek, J. Schmalenstroeer, R. Haeb-Umbach, in: ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021.
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2021 | Conference Paper | LibreCat-ID: 23999 | OA
On Source-Microphone Distance Estimation Using Convolutional Recurrent Neural Networks
T. Gburrek, J. Schmalenstroeer, R. Haeb-Umbach, in: Speech Communication; 14th ITG-Symposium, 2021, pp. 1–5.
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2021 | Conference Paper | LibreCat-ID: 23997 | OA
Online Estimation of Sampling Rate Offsets in Wireless Acoustic Sensor Networks with Packet Loss
A. Chinaev, G. Enzner, T. Gburrek, J. Schmalenstroeer, in: 29th European Signal Processing Conference (EUSIPCO), 2021, pp. 1–5.
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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.
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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: 20695 | OA
Jointly Optimal Dereverberation and Beamforming
C. Boeddeker, T. Nakatani, K. Kinoshita, R. Haeb-Umbach, in: ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020.
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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 | Preprint | LibreCat-ID: 28263
CHiME-6 Challenge:Tackling Multispeaker Speech Recognition for Unsegmented Recordings
S. Watanabe, M. Mandel, J. Barker, E. Vincent, A. Arora, X. Chang, S. Khudanpur, V. Manohar, D. Povey, D. Raj, D. Snyder, A.S. Subramanian, J. Trmal, B.B. Yair, C. Boeddeker, Z. Ni, Y. Fujita, S. Horiguchi, N. Kanda, T. Yoshioka, N. Ryant, ArXiv:2004.09249 (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.
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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.
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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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2019 | Conference Paper | LibreCat-ID: 12875 | OA
Joint Optimization of Neural Network-based WPE Dereverberation and Acoustic Model for Robust Online ASR
J. Heymann, L. Drude, R. Haeb-Umbach, K. Kinoshita, T. Nakatani, in: ICASSP 2019, Brighton, UK, 2019.
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2019 | Conference Paper | LibreCat-ID: 12876 | OA
Directional Statistics and Filtering Using libDirectional
G. Kurz, I. Gilitschenski, F. Pfaff, L. Drude, U.D. Hanebeck, R. Haeb-Umbach, R.Y. Siegwart, in: Journal of Statistical Software 89(4), 2019.
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2019 | Journal Article | LibreCat-ID: 12890 | OA
Integration of Neural Networks and Probabilistic Spatial Models for Acoustic Blind Source Separation
L. Drude, R. Haeb-Umbach, IEEE Journal of Selected Topics in Signal Processing (2019).
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2019 | Conference Paper | LibreCat-ID: 15812 | OA
Improving CTC Using Stimulated Learning for Sequence Modeling
J. Heymann, B.L. Khe Chai Sim, in: ICASSP 2019, Brighton, UK, 2019.
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2019 | Conference Paper | LibreCat-ID: 15816 | OA
An Investigation Into the Effectiveness of Enhancement in ASR Training and Test for Chime-5 Dinner Party Transcription
C. Zorila, C. Boeddeker, R. Doddipatla, R. Haeb-Umbach, in: ASRU 2019, Sentosa, Singapore, 2019.
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2019 | Conference Paper | LibreCat-ID: 14822 | OA
A Study on Online Source Extraction in the Presence of Changing Speaker Positions
J. Heitkaemper, T. Feher, M. Freitag, R. Haeb-Umbach, in: International Conference on Statistical Language and Speech Processing 2019, Ljubljana, Slovenia, 2019.
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2019 | Conference Paper | LibreCat-ID: 14824 | OA
Multi-Channel Block-Online Source Extraction based on Utterance Adaptation
J.M. Martin-Donas, J. Heitkaemper, R. Haeb-Umbach, A.M. Gomez, A.M. Peinado, in: INTERSPEECH 2019, Graz, Austria, 2019.
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2019 | Conference Paper | LibreCat-ID: 14826 | OA
Guided Source Separation Meets a Strong ASR Backend: Hitachi/Paderborn University Joint Investigation for Dinner Party ASR
N. Kanda, C. Boeddeker, J. Heitkaemper, Y. Fujita, S. Horiguchi, R. Haeb-Umbach, in: INTERSPEECH 2019, Graz, Austria, 2019.
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2019 | Conference Paper | LibreCat-ID: 13271 | OA
All-neural Online Source Separation, Counting, and Diarization for Meeting Analysis
T. von Neumann, K. Kinoshita, M. Delcroix, S. Araki, T. Nakatani, R. Haeb-Umbach, in: ICASSP 2019, Brighton, UK, 2019.
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2019 | Journal Article | LibreCat-ID: 15814 | OA
Speech Processing for Digital Home Assistance: Combining Signal Processing With Deep-Learning Techniques
R. Haeb-Umbach, S. Watanabe, T. Nakatani, M. Bacchiani, B. Hoffmeister, M.L. Seltzer, H. Zen, M. Souden, IEEE Signal Processing Magazine 36 (2019) 111–124.
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2019 | Journal Article | LibreCat-ID: 19450 | OA
Lektionen für Alexa & Co?!
R. Haeb-Umbach, DFG Forschung 1/2019 (2019) 12–15.
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2019 | Conference Paper | LibreCat-ID: 15237 | OA
Unsupervised Learning of a Disentangled Speech Representation for Voice Conversion
T. Gburrek, T. Glarner, J. Ebbers, R. Haeb-Umbach, P. Wagner, in: Proc. 10th ISCA Speech Synthesis Workshop, 2019, pp. 81–86.
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2019 | Conference Paper | LibreCat-ID: 15794 | OA
Convolutional Recurrent Neural Network and Data Augmentation for Audio Tagging with Noisy Labels and Minimal Supervision
J. Ebbers, R. Haeb-Umbach, in: DCASE2019 Workshop, New York, USA, 2019.
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2019 | Conference Paper | LibreCat-ID: 15796 | OA
Weakly Supervised Sound Activity Detection and Event Classification in Acoustic Sensor Networks
J. Ebbers, L. Drude, R. Haeb-Umbach, A. Brendel, W. Kellermann, in: CAMSAP 2019, Guadeloupe, West Indies, 2019.
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2019 | Conference Paper | LibreCat-ID: 15792 | OA
Privacy-preserving Variational Information Feature Extraction for Domestic Activity Monitoring Versus Speaker Identification
A. Nelus, J. Ebbers, R. Haeb-Umbach, R. Martin, in: INTERSPEECH 2019, Graz, Austria, 2019.
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2018 | Conference Paper | LibreCat-ID: 18107
Performance of Mask Based Statistical Beamforming in a Smart Home Scenario
J. Heymann, M. Bacchiani, T.N. Sainath, in: 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018, pp. 6722–6726.
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2018 | Conference Paper | LibreCat-ID: 11760 | OA
Evaluation of Modulation-MFCC Features and DNN Classification for Acoustic Event Detection
J. Ebbers, A. Nelus, R. Martin, R. Haeb-Umbach, in: DAGA 2018, München, 2018.
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2018 | Conference Paper | LibreCat-ID: 11835 | OA
Frame-Online DNN-WPE Dereverberation
J. Heymann, L. Drude, R. Haeb-Umbach, K. Kinoshita, T. Nakatani, in: IWAENC 2018, Tokio, Japan, 2018.
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2018 | Conference Paper | LibreCat-ID: 11837 | OA
Smoothing along Frequency in Online Neural Network Supported Acoustic Beamforming
J. Heitkaemper, J. Heymann, R. Haeb-Umbach, in: ITG 2018, Oldenburg, Germany, 2018.
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2018 | Conference Paper | LibreCat-ID: 11872 | OA
Integration neural network based beamforming and weighted prediction error dereverberation
L. Drude, C. Boeddeker, J. Heymann, K. Kinoshita, M. Delcroix, T. Nakatani, R. Haeb-Umbach, in: INTERSPEECH 2018, Hyderabad, India, 2018.
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2018 | Conference Paper | LibreCat-ID: 11873 | OA
NARA-WPE: A Python package for weighted prediction error dereverberation in Numpy and Tensorflow for online and offline processing
L. Drude, J. Heymann, C. Boeddeker, R. Haeb-Umbach, in: ITG 2018, Oldenburg, Germany, 2018.
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2018 | Journal Article | LibreCat-ID: 11916 | OA
Machine learning techniques for semantic analysis of dysarthric speech: An experimental study
V. Despotovic, O. Walter, R. Haeb-Umbach, Speech Communication 99 (2018) 242-251 (Elsevier B.V.) (2018).
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2018 | Conference Paper | LibreCat-ID: 12898 | OA
Deep Attractor Networks for Speaker Re-Identifikation and Blind Source Separation
L. Drude, T. von Neumann, R. Haeb-Umbach, in: ICASSP 2018, Calgary, Canada, 2018.
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2018 | Conference Paper | LibreCat-ID: 12900 | OA
Dual Frequency- and Block-Permutation Alignment for Deep Learning Based Block-Online Blind Source Separation
L. Drude, Takuya Higuchi, K. Kinoshita, T. Nakatani, R. Haeb-Umbach, in: ICASSP 2018, Calgary, Canada, 2018.
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