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257 Publications


2020 | Conference Paper | LibreCat-ID: 17763
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 | Journal Article | LibreCat-ID: 17598
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: 18651
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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2019 | Conference Paper | LibreCat-ID: 12875
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: 14826
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: 15792
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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2019 | Conference Paper | LibreCat-ID: 15812
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 | 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
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: 12876
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
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: 14822
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: 15794 LibreCat | Files available
 

2019 | Conference Paper | LibreCat-ID: 15237
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 | Journal Article | LibreCat-ID: 15814
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
Lektionen für Alexa & Co?!
R. Haeb-Umbach, DFG Forschung 1/2019 (2019) 12–15.
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2019 | Conference Paper | LibreCat-ID: 14824
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: 11965
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: 13271
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 | Conference Paper | LibreCat-ID: 12874
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: 15796
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: 15816
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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2018 | Conference Paper | LibreCat-ID: 11839
Insights into the Interplay of Sampling Rate Offsets and MVDR Beamforming
J. Schmalenstroeer, R. Haeb-Umbach, in: ITG 2018, Oldenburg, Germany, 2018.
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2018 | Conference Paper | LibreCat-ID: 11872
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 | Journal Article | LibreCat-ID: 11916
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: 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: 12899
Front-End Processing for the CHiME-5 Dinner Party Scenario
C. Boeddeker, J. Heitkaemper, J. Schmalenstroeer, L. Drude, J. Heymann, R. Haeb-Umbach, in: Proc. CHiME 2018 Workshop on Speech Processing in Everyday Environments, Hyderabad, India, 2018.
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2018 | Conference Paper | LibreCat-ID: 11835
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: 11760
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: 11873
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 | Conference Paper | LibreCat-ID: 11836
Benchmarking Neural Network Architectures for Acoustic Sensor Networks
J. Ebbers, J. Heitkaemper, J. Schmalenstroeer, R. Haeb-Umbach, in: ITG 2018, Oldenburg, Germany, 2018.
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2018 | Conference Paper | LibreCat-ID: 11747
Discrimination of Stationary from Moving Targets with Recurrent Neural Networks in Automotive Radar
C. Grimm, T. Breddermann, R. Farhoud, T. Fei, E. Warsitz, R. Haeb-Umbach, in: International Conference on Microwaves for Intelligent Mobility (ICMIM) 2018, 2018.
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2018 | Conference Paper | LibreCat-ID: 11837
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: 12900
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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2018 | Conference Paper | LibreCat-ID: 11907
Full Bayesian Hidden Markov Model Variational Autoencoder for Acoustic Unit Discovery
T. Glarner, P. Hanebrink, J. Ebbers, R. Haeb-Umbach, in: INTERSPEECH 2018, Hyderabad, India, 2018.
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2018 | Conference Paper | LibreCat-ID: 6859
MARVELO - A Framework for Signal Processing in Wireless Acoustic Sensor Networks
H. Afifi, J. Schmalenstroeer, J. Ullmann, R. Haeb-Umbach, H. Karl, in: Speech Communication; 13th ITG-Symposium, 2018, pp. 1–5.
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2018 | Conference Paper | LibreCat-ID: 11838
Efficient Sampling Rate Offset Compensation - An Overlap-Save Based Approach
J. Schmalenstroeer, R. Haeb-Umbach, in: 26th European Signal Processing Conference (EUSIPCO 2018), 2018.
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2018 | Conference Paper | LibreCat-ID: 12898
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: 12901
Exploring Practical Aspects of Neural Mask-Based Beamforming for Far-Field Speech Recognition
C. Boeddeker, H. Erdogan, T. Yoshioka, R. Haeb-Umbach, in: ICASSP 2018, Calgary, Canada, 2018.
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2018 | Conference Paper | LibreCat-ID: 11876
The RWTH/UPB System Combination for the CHiME 2018 Workshop
M. Kitza, W. Michel, C. Boeddeker, J. Heitkaemper, T. Menne, R. Schlüter, H. Ney, J. Schmalenstroeer, L. Drude, J. Heymann, R. Haeb-Umbach, in: Proc. CHiME 2018 Workshop on Speech Processing in Everyday Environments, Hyderabad, India, 2018.
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2017 | Conference Paper | LibreCat-ID: 11809
BEAMNET: End-to-End Training of a Beamformer-Supported Multi-Channel ASR System
J. Heymann, L. Drude, C. Boeddeker, P. Hanebrink, R. Haeb-Umbach, in: Proc. IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP), 2017.
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2017 | Journal Article | LibreCat-ID: 11811
A Generic Neural Acoustic Beamforming Architecture for Robust Multi-Channel Speech Processing
J. Heymann, L. Drude, R. Haeb-Umbach, Computer Speech and Language (2017).
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2017 | Conference Paper | LibreCat-ID: 11772
Hypothesis Test for the Detection of Moving Targets in Automotive Radar
C. Grimm, T. Breddermann, R. Farhoud, T. Fei, E. Warsitz, R. Haeb-Umbach, in: IEEE International Conference on Microwave, Communications, Anthenas and Electronic Systems (COMCAS), 2017.
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2017 | Report | LibreCat-ID: 11735
On the Computation of Complex-valued Gradients with Application to Statistically Optimum Beamforming
C. Boeddeker, P. Hanebrink, L. Drude, J. Heymann, R. Haeb-Umbach, On the Computation of Complex-Valued Gradients with Application to Statistically Optimum Beamforming, 2017.
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2017 | Conference Paper | LibreCat-ID: 11754
Tight integration of spatial and spectral features for BSS with Deep Clustering embeddings
L. Drude, R. Haeb-Umbach, in: INTERSPEECH 2017, Stockholm, Schweden, 2017.
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2017 | Conference Paper | LibreCat-ID: 11759
Hidden Markov Model Variational Autoencoder for Acoustic Unit Discovery
J. Ebbers, J. Heymann, L. Drude, T. Glarner, R. Haeb-Umbach, B. Raj, in: INTERSPEECH 2017, Stockholm, Schweden, 2017.
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2017 | Conference Paper | LibreCat-ID: 11773
Detection of Moving Targets in Automotive Radar with Distorted Ego-Velocity Information
C. Grimm, R. Farhoud, T. Fei, E. Warsitz, R. Haeb-Umbach, in: IEEE Microwaves, Radar and Remote Sensing Symposium (MRRS), 2017.
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2017 | Conference Paper | LibreCat-ID: 11717
A Study on Transfer Learning for Acoustic Event Detection in a Real Life Scenario
P. Arora, R. Haeb-Umbach, in: IEEE 19th International Workshop on Multimedia Signal Processing (MMSP), 2017.
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2017 | Conference Paper | LibreCat-ID: 11736
Optimizing Neural-Network Supported Acoustic Beamforming by Algorithmic Differentiation
C. Boeddeker, P. Hanebrink, L. Drude, J. Heymann, R. Haeb-Umbach, in: Proc. IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP), 2017.
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