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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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2017 | Conference Paper | LibreCat-ID: 11763 | OA
A Novel Target Separation Algorithm Applied to The Two-Dimensional Spectrum for FMCW Automotive Radar Systems
T. Fei, C. Grimm, R. Farhoud, T. Breddermann, E. Warsitz, R. Haeb-Umbach, in: IEEE International Conference on Microwave, Communications, Anthenas and Electronic Systems, 2017.
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2017 | Conference Paper | LibreCat-ID: 11772 | OA
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 | Conference Paper | LibreCat-ID: 11759 | OA
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: 11895 | OA
Multi-Stage Coherence Drift Based Sampling Rate Synchronization for Acoustic Beamforming
J. Schmalenstroeer, J. Heymann, L. Drude, C. Boeddeker, R. Haeb-Umbach, in: IEEE 19th International Workshop on Multimedia Signal Processing (MMSP), 2017.
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2017 | Conference Paper | LibreCat-ID: 11773 | OA
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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2016 | Conference Paper | LibreCat-ID: 11738 | OA
A Priori SNR Estimation Using a Generalized Decision Directed Approach
A. Chinaev, R. Haeb-Umbach, in: INTERSPEECH 2016, San Francisco, USA, 2016.
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2016 | Conference Paper | LibreCat-ID: 11743 | OA
A Priori SNR Estimation Using Weibull Mixture Model
A. Chinaev, J. Heitkaemper, R. Haeb-Umbach, in: 12. ITG Fachtagung Sprachkommunikation (ITG 2016), 2016.
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2016 | Conference Paper | LibreCat-ID: 11744 | OA
Noise-Presence-Probability-Based Noise PSD Estimation by Using DNNs
A. Chinaev, J. Heymann, L. Drude, R. Haeb-Umbach, in: 12. ITG Fachtagung Sprachkommunikation (ITG 2016), 2016.
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2016 | Conference Paper | LibreCat-ID: 11751 | OA
Blind Speech Separation based on Complex Spherical k-Mode Clustering
L. Drude, C. Boeddeker, R. Haeb-Umbach, in: Proc. IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP), 2016.
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2016 | Conference Paper | LibreCat-ID: 11756 | OA
On the appropriateness of complex-valued neural networks for speech enhancement
L. Drude, B. Raj, R. Haeb-Umbach, in: INTERSPEECH 2016, San Francisco, USA, 2016.
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2016 | Conference Paper | LibreCat-ID: 11771 | OA
Factor Graph Decoding for Speech Presence Probability Estimation
T. Glarner, M. Mahdi Momenzadeh, L. Drude, R. Haeb-Umbach, in: 12. ITG Fachtagung Sprachkommunikation (ITG 2016), 2016.
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2016 | Conference Paper | LibreCat-ID: 11812 | OA
Neural Network Based Spectral Mask Estimation for Acoustic Beamforming
J. Heymann, L. Drude, R. Haeb-Umbach, in: Proc. IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP), 2016.
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2016 | Conference Paper | LibreCat-ID: 11829 | OA
On the Bias of Direction of Arrival Estimation Using Linear Microphone Arrays
F. Jacob, R. Haeb-Umbach, in: 12. ITG Fachtagung Sprachkommunikation (ITG 2016), 2016.
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2016 | Conference Paper | LibreCat-ID: 11834 | OA
Wide Residual BLSTM Network with Discriminative Speaker Adaptation for Robust Speech Recognition
J. Heymann, L. Drude, R. Haeb-Umbach, in: Computer Speech and Language, 2016.
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2016 | Journal Article | LibreCat-ID: 11840 | OA
A summary of the REVERB challenge: state-of-the-art and remaining challenges in reverberant speech processing research
K. Kinoshita, M. Delcroix, S. Gannot, E.A.P. Habets, R. Haeb-Umbach, W. Kellermann, V. Leutnant, R. Maas, T. Nakatani, B. Raj, A. Sehr, T. Yoshioka, EURASIP Journal on Advances in Signal Processing (2016).
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2016 | Journal Article | LibreCat-ID: 11886
Acoustic Microphone Geometry Calibration: An overview and experimental evaluation of state-of-the-art algorithms
A. Plinge, F. Jacob, R. Haeb-Umbach, G.A. Fink, IEEE Signal Processing Magazine 33 (2016) 14–29.
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2016 | Conference Paper | LibreCat-ID: 11908 | OA
The RWTH/UPB/FORTH System Combination for the 4th CHiME Challenge Evaluation
T. Menne, J. Heymann, A. Alexandridis, K. Irie, A. Zeyer, M. Kitza, P. Golik, I. Kulikov, L. Drude, R. Schlüter, H. Ney, R. Haeb-Umbach, A. Mouchtaris, in: Computer Speech and Language, 2016.
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2016 | Conference Paper | LibreCat-ID: 11920 | OA
Unsupervised Word Discovery from Speech using Bayesian Hierarchical Models
O. Walter, R. Haeb-Umbach, in: 38th German Conference on Pattern Recognition (GCPR 2016), 2016.
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2016 | Conference Paper | LibreCat-ID: 11890 | OA
Investigations into Bluetooth Low Energy Localization Precision Limits
J. Schmalenstroeer, R. Haeb-Umbach, in: 24th European Signal Processing Conference (EUSIPCO 2016), 2016.
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2015 | Conference Paper | LibreCat-ID: 11739 | OA
On Optimal Smoothing in Minimum Statistics Based Noise Tracking
A. Chinaev, R. Haeb-Umbach, in: Interspeech 2015, 2015, pp. 1785–1789.
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2015 | Conference Paper | LibreCat-ID: 11748 | OA
Semantic Analysis of Spoken Input using Markov Logic Networks
V. Despotovic, O. Walter, R. Haeb-Umbach, in: INTERSPEECH 2015, 2015.
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2015 | Conference Paper | LibreCat-ID: 11755 | OA
DOA-Estimation based on a Complex Watson Kernel Method
L. Drude, F. Jacob, R. Haeb-Umbach, in: 23th European Signal Processing Conference (EUSIPCO 2015), 2015.
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2015 | Conference Paper | LibreCat-ID: 11810
BLSTM supported GEV Beamformer Front-End for the 3RD CHiME Challenge
J. Heymann, L. Drude, A. Chinaev, R. Haeb-Umbach, in: Automatic Speech Recognition and Understanding Workshop (ASRU 2015), 2015.
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2015 | Conference Paper | LibreCat-ID: 11813 | OA
Unsupervised adaptation of a denoising autoencoder by Bayesian Feature Enhancement for reverberant asr under mismatch conditions
J. Heymann, R. Haeb-Umbach, P. Golik, R. Schlueter, in: Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference On, 2015, pp. 5053–5057.
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2015 | Journal Article | LibreCat-ID: 11830 | OA LibreCat | Download (ext.)
 

2015 | Book | LibreCat-ID: 11868 | OA
Robust Automatic Speech Recognition
J. Li, L. Deng, R. Haeb-Umbach, Y. Gong, Robust Automatic Speech Recognition, Elsevier, 2015.
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2015 | Conference Paper | LibreCat-ID: 11875 | OA
Typicality and Emotion in the Voice of Children with Autism Spectrum Condition: Evidence Across Three Languages
E. Marchi, B. Schuller, S. Baron-Cohen, O. Golan, S. Boelte, P. Arora, R. Haeb-Umbach, in: INTERSPEECH 2015, 2015.
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2015 | Conference Paper | LibreCat-ID: 11919 | OA
Source Counting in Speech Mixtures by Nonparametric Bayesian Estimation of an infinite Gaussian Mixture Model
O. Walter, L. Drude, R. Haeb-Umbach, in: 40th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2015), 2015.
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2015 | Journal Article | LibreCat-ID: 11922 | OA
Autonomous Learning of Representations
O. Walter, R. Haeb-Umbach, B. Mokbel, B. Paassen, B. Hammer, KI - Kuenstliche Intelligenz (2015) 1–13.
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2015 | Report | LibreCat-ID: 11923 | OA
Lexicon Discovery for Language Preservation using Unsupervised Word Segmentation with Pitman-Yor Language Models (FGNT-2015-01)
O. Walter, R. Haeb-Umbach, J. Strunk, N. P. Himmelmann, Lexicon Discovery for Language Preservation Using Unsupervised Word Segmentation with Pitman-Yor Language Models (FGNT-2015-01), 2015.
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2015 | Conference Paper | LibreCat-ID: 11874 | OA
Aligning training models with smartphone properties in WiFi fingerprinting based indoor localization
M.K. Hoang, J. Schmalenstroeer, R. Haeb-Umbach, in: 40th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2015), 2015.
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2014 | Conference Paper | LibreCat-ID: 11746 | OA
Spectral Noise Tracking for Improved Nonstationary Noise Robust ASR
A. Chinaev, M. Puels, R. Haeb-Umbach, in: 11. ITG Fachtagung Sprachkommunikation (ITG 2014), 2014.
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2014 | Conference Paper | LibreCat-ID: 11752 | OA
Source Counting in Speech Mixtures Using a Variational EM Approach for Complexwatson Mixture Models
L. Drude, A. Chinaev, D.H. Tran Vu, R. Haeb-Umbach, in: 39th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014), 2014.
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2014 | Conference Paper | LibreCat-ID: 11753 | OA
Towards Online Source Counting in Speech Mixtures Applying a Variational EM for Complex Watson Mixture Models
L. Drude, A. Chinaev, D.H. Tran Vu, R. Haeb-Umbach, in: 14th International Workshop on Acoustic Signal Enhancement (IWAENC 2014), 2014, pp. 213–217.
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2014 | Conference Paper | LibreCat-ID: 11814 | OA
Iterative Bayesian Word Segmentation for Unspuervised Vocabulary Discovery from Phoneme Lattices
J. Heymann, O. Walter, R. Haeb-Umbach, B. Raj, in: 39th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014), 2014.
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2014 | Conference Paper | LibreCat-ID: 11831 | OA
Coordinate Mapping Between an Acoustic and Visual Sensor Network in the Shape Domain for a Joint Self-Calibrating Speaker Tracking
F. Jacob, R. Haeb-Umbach, in: 11. ITG Fachtagung Sprachkommunikation (ITG 2014), 2014.
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2014 | Journal Article | LibreCat-ID: 11861
A New Observation Model in the Logarithmic Mel Power Spectral Domain for the Automatic Recognition of Noisy Reverberant Speech
V. Leutnant, A. Krueger, R. Haeb-Umbach, IEEE/ACM Transactions on Audio, Speech, and Language Processing 22 (2014) 95–109.
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2014 | Journal Article | LibreCat-ID: 11867 | OA
An Overview of Noise-Robust Automatic Speech Recognition
J. Li, L. Deng, Y. Gong, R. Haeb-Umbach, IEEE Transactions on Audio, Speech and Language Processing 22 (2014) 745–777.
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2014 | Conference Paper | LibreCat-ID: 11918 | OA
An Evaluation of Unsupervised Acoustic Model Training for a Dysarthric Speech Interface
O. Walter, V. Despotovic, R. Haeb-Umbach, J. Gemmeke, B. Ons, H. Van hamme, in: INTERSPEECH 2014, 2014.
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2014 | Journal Article | LibreCat-ID: 11898 | OA
A combined hardware-software approach for acoustic sensor network synchronization
J. Schmalenstroeer, P. Jebramcik, R. Haeb-Umbach, Signal Processing (2014).
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2014 | Conference Paper | LibreCat-ID: 11897 | OA
A Gossiping Approach to Sampling Clock Synchronization in Wireless Acoustic Sensor Networks
J. Schmalenstroeer, P. Jebramcik, R. Haeb-Umbach, in: 39th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014), 2014.
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2014 | Conference Paper | LibreCat-ID: 11903 | OA
Online Observation Error Model Estimation for Acoustic Sensor Network Synchronization
J. Schmalenstroeer, W. Zhao, R. Haeb-Umbach, in: 11. ITG Fachtagung Sprachkommunikation (ITG 2014), 2014.
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2013 | Conference Paper | LibreCat-ID: 11716
GMM-based significance decoding
A.H. Abdelaziz, S. Zeiler, D. Kolossa, V. Leutnant, R. Haeb-Umbach, in: Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference On, 2013, pp. 6827–6831.
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2013 | Conference Paper | LibreCat-ID: 11740 | OA
MAP-based Estimation of the Parameters of a Gaussian Mixture Model in the Presence of Noisy Observations
A. Chinaev, R. Haeb-Umbach, in: 38th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2013), 2013, pp. 3352–3356.
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2013 | Conference Paper | LibreCat-ID: 11742 | OA
Improved Single-Channel Nonstationary Noise Tracking by an Optimized MAP-based Postprocessor
A. Chinaev, R. Haeb-Umbach, J. Taghia, R. Martin, in: 38th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2013), 2013, pp. 7477–7481.
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2013 | Conference Paper | LibreCat-ID: 11762 | OA
On the Acoustic Channel Identification in Multi-Microphone Systems via Adaptive Blind Signal Enhancement Techniques
G. Enzner, D. Schmid, R. Haeb-Umbach, in: 21th European Signal Processing Conference (EUSIPCO 2013), 2013.
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2013 | Conference Paper | LibreCat-ID: 11815 | OA
Unsupervised Word Segmentation from Noisy Input
J. Heymann, O. Walter, R. Haeb-Umbach, B. Raj, in: Automatic Speech Recognition and Understanding Workshop (ASRU 2013), 2013.
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2013 | Conference Paper | LibreCat-ID: 11816 | OA
Parameter estimation and classification of censored Gaussian data with application to WiFi indoor positioning
M.K. Hoang, R. Haeb-Umbach, in: 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013), 2013, pp. 3721–3725.
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2013 | Conference Paper | LibreCat-ID: 11841 | OA
The reverb challenge: a common evaluation framework for dereverberation and recognition of reverberant speech
K. Kinoshita, M. Delcroix, T. Yoshioka, T. Nakatani, E. Habets, R. Haeb-Umbach, V. Leutnant, A. Sehr, W. Kellermann, R. Maas, S. Gannot, B. Raj, in: IEEE Workshop on Applications of Signal Processing to Audio and Acoustics , 2013, pp. 22–23.
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2013 | Journal Article | LibreCat-ID: 11862
Bayesian Feature Enhancement for Reverberation and Noise Robust Speech Recognition
V. Leutnant, A. Krueger, R. Haeb-Umbach, IEEE Transactions on Audio, Speech, and Language Processing 21 (2013) 1640–1652.
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