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318 Publications


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 LibreCat | Files available
 

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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2018 | Conference Paper | LibreCat-ID: 12901 | OA
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: 29923 | OA
ESPnet: End-to-End Speech Processing Toolkit
S. Watanabe, T. Hori, S. Karita, T. Hayashi, J. Nishitoba, Y. Unno, N. Enrique Yalta Soplin, J. Heymann, M. Wiesner, N. Chen, A. Renduchintala, T. Ochiai, in: INTERSPEECH 2018, Hyderabad, India, 2018, pp. 2207–2211.
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2018 | Conference Paper | LibreCat-ID: 12899 | OA
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: 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: 11747 | OA
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: 11907 | OA
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: 11838 | OA
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: 11876 | OA
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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2018 | Conference Paper | LibreCat-ID: 11836 | OA
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: 11839 | OA
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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2017 | Conference Paper | LibreCat-ID: 11717 | OA
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 | Report | LibreCat-ID: 11735 | OA
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: 11736 | OA
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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2017 | Conference Paper | LibreCat-ID: 11737 | OA
A Generalized Log-Spectral Amplitude Estimator for Single-Channel Speech Enhancement
A. Chinaev, R. Haeb-Umbach, in: Proc. IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP), 2017.
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2017 | Conference Paper | LibreCat-ID: 11754 | OA
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: 11770 | OA
Leveraging Text Data for Word Segmentation for Underresourced Languages
T. Glarner, B. Boenninghoff, O. Walter, R. Haeb-Umbach, in: INTERSPEECH 2017, Stockholm, Schweden, 2017.
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2017 | Conference Paper | LibreCat-ID: 11809 | OA
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 | OA
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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