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318 Publications
2020 | Conference Paper | LibreCat-ID: 18651 | 
T. Gburrek, J. Schmalenstroeer, A. Brendel, W. Kellermann, and R. Haeb-Umbach, “Deep Neural Network based Distance Estimation for Geometry Calibration in Acoustic Sensor Network,” 2020.
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2020 | Conference Paper | LibreCat-ID: 20766 |
K. Kinoshita, T. von Neumann, M. Delcroix, T. Nakatani, and R. Haeb-Umbach, “Multi-Path RNN for Hierarchical Modeling of Long Sequential Data and its Application to Speaker Stream Separation,” in Proc. Interspeech 2020, 2020, pp. 2652–2656, doi: 10.21437/Interspeech.2020-2388.
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2020 | Conference Paper | LibreCat-ID: 20753 |
J. Ebbers and R. Haeb-Umbach, “Forward-Backward Convolutional Recurrent Neural Networks and Tag-Conditioned Convolutional Neural Networks for Weakly Labeled Semi-Supervised Sound Event Detection,” 2020.
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2019 | Journal Article | LibreCat-ID: 19446 |
L. Drude, J. Heitkaemper, C. Boeddeker, and R. Haeb-Umbach, “SMS-WSJ: Database, performance measures, and baseline recipe for multi-channel source separation and recognition,” ArXiv e-prints, 2019.
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2019 | Conference Paper | LibreCat-ID: 11965 |
L. Drude, J. Heymann, and R. Haeb-Umbach, “Unsupervised training of neural mask-based beamforming,” in INTERSPEECH 2019, Graz, Austria, 2019.
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2019 | Conference Paper | LibreCat-ID: 12874 |
L. Drude, D. Hasenklever, and R. Haeb-Umbach, “Unsupervised Training of a Deep Clustering Model for Multichannel Blind Source Separation,” in ICASSP 2019, Brighton, UK, 2019.
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2019 | Conference Paper | LibreCat-ID: 12875 |
J. Heymann, L. Drude, R. Haeb-Umbach, K. Kinoshita, and T. Nakatani, “Joint Optimization of Neural Network-based WPE Dereverberation and Acoustic Model for Robust Online ASR,” in ICASSP 2019, Brighton, UK, 2019.
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2019 | Conference Paper | LibreCat-ID: 12876 |
G. Kurz et al., “Directional Statistics and Filtering Using libDirectional,” in Journal of Statistical Software 89(4), 2019.
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2019 | Journal Article | LibreCat-ID: 12890 |
L. Drude and R. Haeb-Umbach, “Integration of Neural Networks and Probabilistic Spatial Models for Acoustic Blind Source Separation,” IEEE Journal of Selected Topics in Signal Processing, 2019.
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2019 | Conference Paper | LibreCat-ID: 15812 |
J. Heymann and B. L. Khe Chai Sim, “Improving CTC Using Stimulated Learning for Sequence Modeling,” in ICASSP 2019, Brighton, UK, 2019.
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2019 | Conference Paper | LibreCat-ID: 15816 |
C. Zorila, C. Boeddeker, R. Doddipatla, and R. Haeb-Umbach, “An Investigation Into the Effectiveness of Enhancement in ASR Training and Test for Chime-5 Dinner Party Transcription,” in ASRU 2019, Sentosa, Singapore, 2019.
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2019 | Conference Paper | LibreCat-ID: 14822 |
J. Heitkaemper, T. Feher, M. Freitag, and R. Haeb-Umbach, “A Study on Online Source Extraction in the Presence of Changing Speaker Positions,” in International Conference on Statistical Language and Speech Processing 2019, Ljubljana, Slovenia, 2019.
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2019 | Conference Paper | LibreCat-ID: 14824 |
J. M. Martin-Donas, J. Heitkaemper, R. Haeb-Umbach, A. M. Gomez, and A. M. Peinado, “Multi-Channel Block-Online Source Extraction based on Utterance Adaptation,” in INTERSPEECH 2019, Graz, Austria, 2019.
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2019 | Conference Paper | LibreCat-ID: 14826 |
N. Kanda, C. Boeddeker, J. Heitkaemper, Y. Fujita, S. Horiguchi, and R. Haeb-Umbach, “Guided Source Separation Meets a Strong ASR Backend: Hitachi/Paderborn University Joint Investigation for Dinner Party ASR,” in INTERSPEECH 2019, Graz, Austria, 2019.
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2019 | Conference Paper | LibreCat-ID: 13271 |
T. von Neumann, K. Kinoshita, M. Delcroix, S. Araki, T. Nakatani, and R. Haeb-Umbach, “All-neural Online Source Separation, Counting, and Diarization for Meeting Analysis,” in ICASSP 2019, Brighton, UK, 2019.
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2019 | Journal Article | LibreCat-ID: 15814 |
R. Haeb-Umbach et al., “Speech Processing for Digital Home Assistance: Combining Signal Processing With Deep-Learning Techniques,” IEEE Signal Processing Magazine, vol. 36, no. 6, pp. 111–124, 2019, doi: 10.1109/MSP.2019.2918706.
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2019 | Journal Article | LibreCat-ID: 19450 |
R. Haeb-Umbach, “Lektionen für Alexa & Co?!,” DFG forschung 1/2019, pp. 12–15, 2019, doi: 10.1002/fors.201970104.
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2019 | Conference Paper | LibreCat-ID: 15237 |
T. Gburrek, T. Glarner, J. Ebbers, R. Haeb-Umbach, and P. Wagner, “Unsupervised Learning of a Disentangled Speech Representation for Voice Conversion,” in Proc. 10th ISCA Speech Synthesis Workshop, Vienna, 2019, pp. 81–86, doi: 10.21437/SSW.2019-15.
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2019 | Conference Paper | LibreCat-ID: 15794 |
J. Ebbers and R. Haeb-Umbach, “Convolutional Recurrent Neural Network and Data Augmentation for Audio Tagging with Noisy Labels and Minimal Supervision,” 2019.
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2019 | Conference Paper | LibreCat-ID: 15796 |
J. Ebbers, L. Drude, R. Haeb-Umbach, A. Brendel, and W. Kellermann, “Weakly Supervised Sound Activity Detection and Event Classification in Acoustic Sensor Networks,” 2019.
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2019 | Conference Paper | LibreCat-ID: 15792 |
A. Nelus, J. Ebbers, R. Haeb-Umbach, and R. Martin, “Privacy-preserving Variational Information Feature Extraction for Domestic Activity Monitoring Versus Speaker Identification,” 2019.
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2018 | Conference Paper | LibreCat-ID: 11760 |
J. Ebbers, A. Nelus, R. Martin, and R. Haeb-Umbach, “Evaluation of Modulation-MFCC Features and DNN Classification for Acoustic Event Detection,” in DAGA 2018, München, 2018.
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2018 | Conference Paper | LibreCat-ID: 11835 |
J. Heymann, L. Drude, R. Haeb-Umbach, K. Kinoshita, and T. Nakatani, “Frame-Online DNN-WPE Dereverberation,” in IWAENC 2018, Tokio, Japan, 2018.
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2018 | Conference Paper | LibreCat-ID: 11837 |
J. Heitkaemper, J. Heymann, and R. Haeb-Umbach, “Smoothing along Frequency in Online Neural Network Supported Acoustic Beamforming,” in ITG 2018, Oldenburg, Germany, 2018.
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2018 | Conference Paper | LibreCat-ID: 11872 |
L. Drude et al., “Integration neural network based beamforming and weighted prediction error dereverberation,” in INTERSPEECH 2018, Hyderabad, India, 2018.
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2018 | Conference Paper | LibreCat-ID: 11873 |
L. Drude, J. Heymann, C. Boeddeker, and R. Haeb-Umbach, “NARA-WPE: A Python package for weighted prediction error dereverberation in Numpy and Tensorflow for online and offline processing,” in ITG 2018, Oldenburg, Germany, 2018.
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2018 | Journal Article | LibreCat-ID: 11916 |
V. Despotovic, O. Walter, and R. Haeb-Umbach, “Machine learning techniques for semantic analysis of dysarthric speech: An experimental study,” Speech Communication 99 (2018) 242-251 (Elsevier B.V.), 2018.
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2018 | Conference Paper | LibreCat-ID: 12898 |
L. Drude, T. von Neumann, and R. Haeb-Umbach, “Deep Attractor Networks for Speaker Re-Identifikation and Blind Source Separation,” in ICASSP 2018, Calgary, Canada, 2018.
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2018 | Conference Paper | LibreCat-ID: 12900 |
L. Drude, Takuya Higuchi, K. Kinoshita, T. Nakatani, and R. Haeb-Umbach, “Dual Frequency- and Block-Permutation Alignment for Deep Learning Based Block-Online Blind Source Separation,” in ICASSP 2018, Calgary, Canada, 2018.
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2018 | Conference Paper | LibreCat-ID: 12901 |
C. Boeddeker, H. Erdogan, T. Yoshioka, and R. Haeb-Umbach, “Exploring Practical Aspects of Neural Mask-Based Beamforming for Far-Field Speech Recognition,” in ICASSP 2018, Calgary, Canada, 2018.
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2018 | Conference Paper | LibreCat-ID: 29923 |
S. Watanabe et al., “ESPnet: End-to-End Speech Processing Toolkit,” in INTERSPEECH 2018, Hyderabad, India, 2018, pp. 2207–2211, doi: 10.21437/Interspeech.2018-1456.
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2018 | Conference Paper | LibreCat-ID: 12899 |
C. Boeddeker, J. Heitkaemper, J. Schmalenstroeer, L. Drude, J. Heymann, and R. Haeb-Umbach, “Front-End Processing for the CHiME-5 Dinner Party Scenario,” 2018.
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2018 | Conference Paper | LibreCat-ID: 6859
H. Afifi, J. Schmalenstroeer, J. Ullmann, R. Haeb-Umbach, and H. Karl, “MARVELO - A Framework for Signal Processing in Wireless Acoustic Sensor Networks,” in Speech Communication; 13th ITG-Symposium, 2018, pp. 1–5.
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2018 | Conference Paper | LibreCat-ID: 11747 |
C. Grimm, T. Breddermann, R. Farhoud, T. Fei, E. Warsitz, and R. Haeb-Umbach, “Discrimination of Stationary from Moving Targets with Recurrent Neural Networks in Automotive Radar,” 2018.
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2018 | Conference Paper | LibreCat-ID: 11907 |
T. Glarner, P. Hanebrink, J. Ebbers, and R. Haeb-Umbach, “Full Bayesian Hidden Markov Model Variational Autoencoder for Acoustic Unit Discovery,” 2018.
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2018 | Conference Paper | LibreCat-ID: 11838 |
J. Schmalenstroeer and R. Haeb-Umbach, “Efficient Sampling Rate Offset Compensation - An Overlap-Save Based Approach,” 2018.
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2018 | Conference Paper | LibreCat-ID: 11876 |
M. Kitza et al., “The RWTH/UPB System Combination for the CHiME 2018 Workshop,” 2018.
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2018 | Conference Paper | LibreCat-ID: 11836 |
J. Ebbers, J. Heitkaemper, J. Schmalenstroeer, and R. Haeb-Umbach, “Benchmarking Neural Network Architectures for Acoustic Sensor Networks,” 2018.
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2018 | Conference Paper | LibreCat-ID: 11839 |
J. Schmalenstroeer and R. Haeb-Umbach, “Insights into the Interplay of Sampling Rate Offsets and MVDR Beamforming,” 2018.
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2017 | Conference Paper | LibreCat-ID: 11717 |
P. Arora and R. Haeb-Umbach, “A Study on Transfer Learning for Acoustic Event Detection in a Real Life Scenario,” in IEEE 19th International Workshop on Multimedia Signal Processing (MMSP), 2017.
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2017 | Report | LibreCat-ID: 11735 |
C. Boeddeker, P. Hanebrink, L. Drude, J. Heymann, and 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 |
C. Boeddeker, P. Hanebrink, L. Drude, J. Heymann, and R. Haeb-Umbach, “Optimizing Neural-Network Supported Acoustic Beamforming by Algorithmic Differentiation,” in Proc. IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP), 2017.
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2017 | Conference Paper | LibreCat-ID: 11737 |
A. Chinaev and R. Haeb-Umbach, “A Generalized Log-Spectral Amplitude Estimator for Single-Channel Speech Enhancement,” in Proc. IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP), 2017.
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2017 | Conference Paper | LibreCat-ID: 11754 |
L. Drude and R. Haeb-Umbach, “Tight integration of spatial and spectral features for BSS with Deep Clustering embeddings,” in INTERSPEECH 2017, Stockholm, Schweden, 2017.
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2017 | Conference Paper | LibreCat-ID: 11770 |
T. Glarner, B. Boenninghoff, O. Walter, and R. Haeb-Umbach, “Leveraging Text Data for Word Segmentation for Underresourced Languages,” in INTERSPEECH 2017, Stockholm, Schweden, 2017.
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2017 | Conference Paper | LibreCat-ID: 11809 |
J. Heymann, L. Drude, C. Boeddeker, P. Hanebrink, and R. Haeb-Umbach, “BEAMNET: End-to-End Training of a Beamformer-Supported Multi-Channel ASR System,” in Proc. IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP), 2017.
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2017 | Journal Article | LibreCat-ID: 11811 |
J. Heymann, L. Drude, and R. Haeb-Umbach, “A Generic Neural Acoustic Beamforming Architecture for Robust Multi-Channel Speech Processing,” Computer Speech and Language, 2017.
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2017 | Patent | LibreCat-ID: 12081
F. Jacob and J. Schmalenstroeer, “Building or Enclosure Termination Closing and/or Opening Apparatus, and Method for Operating a Building or Enclosure Termination.” 2017.
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2017 | Conference Paper | LibreCat-ID: 11763 |
T. Fei, C. Grimm, R. Farhoud, T. Breddermann, E. Warsitz, and R. Haeb-Umbach, “A Novel Target Separation Algorithm Applied to The Two-Dimensional Spectrum for FMCW Automotive Radar Systems,” 2017.
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2017 | Conference Paper | LibreCat-ID: 11772 |
C. Grimm, T. Breddermann, R. Farhoud, T. Fei, E. Warsitz, and R. Haeb-Umbach, “Hypothesis Test for the Detection of Moving Targets in Automotive Radar,” 2017.
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2017 | Conference Paper | LibreCat-ID: 11759 |
J. Ebbers, J. Heymann, L. Drude, T. Glarner, R. Haeb-Umbach, and B. Raj, “Hidden Markov Model Variational Autoencoder for Acoustic Unit Discovery,” 2017.
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2017 | Conference Paper | LibreCat-ID: 11895 |
J. Schmalenstroeer, J. Heymann, L. Drude, C. Boeddeker, and R. Haeb-Umbach, “Multi-Stage Coherence Drift Based Sampling Rate Synchronization for Acoustic Beamforming,” 2017.
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2017 | Conference Paper | LibreCat-ID: 11773 |
C. Grimm, R. Farhoud, T. Fei, E. Warsitz, and R. Haeb-Umbach, “Detection of Moving Targets in Automotive Radar with Distorted Ego-Velocity Information,” 2017.
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2016 | Conference Paper | LibreCat-ID: 11738 |
A. Chinaev and R. Haeb-Umbach, “A Priori SNR Estimation Using a Generalized Decision Directed Approach,” in INTERSPEECH 2016, San Francisco, USA, 2016.
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2016 | Conference Paper | LibreCat-ID: 11743 |
A. Chinaev, J. Heitkaemper, and R. Haeb-Umbach, “A Priori SNR Estimation Using Weibull Mixture Model,” in 12. ITG Fachtagung Sprachkommunikation (ITG 2016), 2016.
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2016 | Conference Paper | LibreCat-ID: 11744 |
A. Chinaev, J. Heymann, L. Drude, and R. Haeb-Umbach, “Noise-Presence-Probability-Based Noise PSD Estimation by Using DNNs,” in 12. ITG Fachtagung Sprachkommunikation (ITG 2016), 2016.
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2016 | Conference Paper | LibreCat-ID: 11751 |
L. Drude, C. Boeddeker, and R. Haeb-Umbach, “Blind Speech Separation based on Complex Spherical k-Mode Clustering,” in Proc. IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP), 2016.
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2016 | Conference Paper | LibreCat-ID: 11756 |
L. Drude, B. Raj, and R. Haeb-Umbach, “On the appropriateness of complex-valued neural networks for speech enhancement,” in INTERSPEECH 2016, San Francisco, USA, 2016.
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2016 | Conference Paper | LibreCat-ID: 11771 |
T. Glarner, M. Mahdi Momenzadeh, L. Drude, and R. Haeb-Umbach, “Factor Graph Decoding for Speech Presence Probability Estimation,” in 12. ITG Fachtagung Sprachkommunikation (ITG 2016), 2016.
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2016 | Conference Paper | LibreCat-ID: 11812 |
J. Heymann, L. Drude, and R. Haeb-Umbach, “Neural Network Based Spectral Mask Estimation for Acoustic Beamforming,” in Proc. IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP), 2016.
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2016 | Conference Paper | LibreCat-ID: 11829 |
F. Jacob and R. Haeb-Umbach, “On the Bias of Direction of Arrival Estimation Using Linear Microphone Arrays,” in 12. ITG Fachtagung Sprachkommunikation (ITG 2016), 2016.
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2016 | Conference Paper | LibreCat-ID: 11834 |
J. Heymann, L. Drude, and R. Haeb-Umbach, “Wide Residual BLSTM Network with Discriminative Speaker Adaptation for Robust Speech Recognition,” in Computer Speech and Language, 2016.
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2016 | Journal Article | LibreCat-ID: 11840 |
K. Kinoshita et al., “A summary of the REVERB challenge: state-of-the-art and remaining challenges in reverberant speech processing research,” EURASIP Journal on Advances in Signal Processing, 2016.
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2016 | Conference Paper | LibreCat-ID: 11908 |
T. Menne et al., “The RWTH/UPB/FORTH System Combination for the 4th CHiME Challenge Evaluation,” in Computer Speech and Language, 2016.
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2016 | Conference Paper | LibreCat-ID: 11920 |
O. Walter and R. Haeb-Umbach, “Unsupervised Word Discovery from Speech using Bayesian Hierarchical Models,” in 38th German Conference on Pattern Recognition (GCPR 2016), 2016.
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2016 | Conference Paper | LibreCat-ID: 11890 |
J. Schmalenstroeer and R. Haeb-Umbach, “Investigations into Bluetooth Low Energy Localization Precision Limits,” 2016.
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2015 | Conference Paper | LibreCat-ID: 11739 |
A. Chinaev and R. Haeb-Umbach, “On Optimal Smoothing in Minimum Statistics Based Noise Tracking,” in Interspeech 2015, 2015, pp. 1785–1789.
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2015 | Conference Paper | LibreCat-ID: 11748 |
V. Despotovic, O. Walter, and R. Haeb-Umbach, “Semantic Analysis of Spoken Input using Markov Logic Networks,” in INTERSPEECH 2015, 2015.
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2015 | Conference Paper | LibreCat-ID: 11755 |
L. Drude, F. Jacob, and R. Haeb-Umbach, “DOA-Estimation based on a Complex Watson Kernel Method,” in 23th European Signal Processing Conference (EUSIPCO 2015), 2015.
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2015 | Conference Paper | LibreCat-ID: 11810
J. Heymann, L. Drude, A. Chinaev, and R. Haeb-Umbach, “BLSTM supported GEV Beamformer Front-End for the 3RD CHiME Challenge,” in Automatic Speech Recognition and Understanding Workshop (ASRU 2015), 2015.
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2015 | Conference Paper | LibreCat-ID: 11813 |
J. Heymann, R. Haeb-Umbach, P. Golik, and R. Schlueter, “Unsupervised adaptation of a denoising autoencoder by Bayesian Feature Enhancement for reverberant asr under mismatch conditions,” 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 |
F. Jacob and R. Haeb-Umbach, “Absolute Geometry Calibration of Distributed Microphone Arrays in an Audio-Visual Sensor Network,” ArXiv e-prints, 2015.
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2015 | Book | LibreCat-ID: 11868 |
J. Li, L. Deng, R. Haeb-Umbach, and Y. Gong, Robust Automatic Speech Recognition. Elsevier, 2015.
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2015 | Conference Paper | LibreCat-ID: 11875 |
E. Marchi et al., “Typicality and Emotion in the Voice of Children with Autism Spectrum Condition: Evidence Across Three Languages,” in INTERSPEECH 2015, 2015.
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2015 | Conference Paper | LibreCat-ID: 11919 |
O. Walter, L. Drude, and R. Haeb-Umbach, “Source Counting in Speech Mixtures by Nonparametric Bayesian Estimation of an infinite Gaussian Mixture Model,” in 40th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2015), 2015.
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2015 | Journal Article | LibreCat-ID: 11922 |
O. Walter, R. Haeb-Umbach, B. Mokbel, B. Paassen, and B. Hammer, “Autonomous Learning of Representations,” KI - Kuenstliche Intelligenz, pp. 1–13, 2015.
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2015 | Report | LibreCat-ID: 11923 |
O. Walter, R. Haeb-Umbach, J. Strunk, and 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 |
M. K. Hoang, J. Schmalenstroeer, and R. Haeb-Umbach, “Aligning training models with smartphone properties in WiFi fingerprinting based indoor localization,” 2015.
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2014 | Conference Paper | LibreCat-ID: 11746 |
A. Chinaev, M. Puels, and R. Haeb-Umbach, “Spectral Noise Tracking for Improved Nonstationary Noise Robust ASR,” in 11. ITG Fachtagung Sprachkommunikation (ITG 2014), 2014.
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2014 | Conference Paper | LibreCat-ID: 11752 |
L. Drude, A. Chinaev, D. H. Tran Vu, and R. Haeb-Umbach, “Source Counting in Speech Mixtures Using a Variational EM Approach for Complexwatson Mixture Models,” in 39th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014), 2014.
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2014 | Conference Paper | LibreCat-ID: 11753 |
L. Drude, A. Chinaev, D. H. Tran Vu, and R. Haeb-Umbach, “Towards Online Source Counting in Speech Mixtures Applying a Variational EM for Complex Watson Mixture Models,” in 14th International Workshop on Acoustic Signal Enhancement (IWAENC 2014), 2014, pp. 213–217.
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2014 | Conference Paper | LibreCat-ID: 11814 |
J. Heymann, O. Walter, R. Haeb-Umbach, and B. Raj, “Iterative Bayesian Word Segmentation for Unspuervised Vocabulary Discovery from Phoneme Lattices,” in 39th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014), 2014.
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2014 | Conference Paper | LibreCat-ID: 11831 |
F. Jacob and R. Haeb-Umbach, “Coordinate Mapping Between an Acoustic and Visual Sensor Network in the Shape Domain for a Joint Self-Calibrating Speaker Tracking,” in 11. ITG Fachtagung Sprachkommunikation (ITG 2014), 2014.
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2014 | Journal Article | LibreCat-ID: 11861
V. Leutnant, A. Krueger, and R. Haeb-Umbach, “A New Observation Model in the Logarithmic Mel Power Spectral Domain for the Automatic Recognition of Noisy Reverberant Speech,” IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 22, no. 1, pp. 95–109, 2014.
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2014 | Journal Article | LibreCat-ID: 11867 |
J. Li, L. Deng, Y. Gong, and R. Haeb-Umbach, “An Overview of Noise-Robust Automatic Speech Recognition,” IEEE Transactions on Audio, Speech and Language Processing, vol. 22, no. 4, pp. 745–777, 2014.
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2014 | Conference Paper | LibreCat-ID: 11918 |
O. Walter, V. Despotovic, R. Haeb-Umbach, J. Gemmeke, B. Ons, and H. Van hamme, “An Evaluation of Unsupervised Acoustic Model Training for a Dysarthric Speech Interface,” in INTERSPEECH 2014, 2014.
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2014 | Journal Article | LibreCat-ID: 11898 |
J. Schmalenstroeer, P. Jebramcik, and R. Haeb-Umbach, “A combined hardware-software approach for acoustic sensor network synchronization ,” Signal Processing, no. 0, p., 2014, doi: http://dx.doi.org/10.1016/j.sigpro.2014.06.030.
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2014 | Conference Paper | LibreCat-ID: 11897 |
J. Schmalenstroeer, P. Jebramcik, and R. Haeb-Umbach, “A Gossiping Approach to Sampling Clock Synchronization in Wireless Acoustic Sensor Networks,” 2014.
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2014 | Conference Paper | LibreCat-ID: 11903 |
J. Schmalenstroeer, W. Zhao, and R. Haeb-Umbach, “Online Observation Error Model Estimation for Acoustic Sensor Network Synchronization,” 2014.
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2013 | Conference Paper | LibreCat-ID: 11740 |
A. Chinaev and R. Haeb-Umbach, “MAP-based Estimation of the Parameters of a Gaussian Mixture Model in the Presence of Noisy Observations,” 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 |
A. Chinaev, R. Haeb-Umbach, J. Taghia, and R. Martin, “Improved Single-Channel Nonstationary Noise Tracking by an Optimized MAP-based Postprocessor,” 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 |
G. Enzner, D. Schmid, and R. Haeb-Umbach, “On the Acoustic Channel Identification in Multi-Microphone Systems via Adaptive Blind Signal Enhancement Techniques,” in 21th European Signal Processing Conference (EUSIPCO 2013), 2013.
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2013 | Conference Paper | LibreCat-ID: 11815 |
J. Heymann, O. Walter, R. Haeb-Umbach, and B. Raj, “Unsupervised Word Segmentation from Noisy Input,” in Automatic Speech Recognition and Understanding Workshop (ASRU 2013), 2013.
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2013 | Conference Paper | LibreCat-ID: 11816 |
M. K. Hoang and R. Haeb-Umbach, “Parameter estimation and classification of censored Gaussian data with application to WiFi indoor positioning,” 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 |
K. Kinoshita et al., “The reverb challenge: a common evaluation framework for dereverberation and recognition of reverberant speech,” in IEEE Workshop on Applications of Signal Processing to Audio and Acoustics , 2013, pp. 22–23.
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