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ORCIDReinhold Häb-Umbach
Reinhold Haeb-Umbach – Reinhold Haeb
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- affiliation: University of Paderborn, Department of Electrical Engineering and Information Technology, Germany
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2020 – today
- 2024
[j41]Christoph Böddeker
, Aswin Shanmugam Subramanian, Gordon Wichern, Reinhold Haeb-Umbach, Jonathan Le Roux:
TS-SEP: Joint Diarization and Separation Conditioned on Estimated Speaker Embeddings. IEEE ACM Trans. Audio Speech Lang. Process. 32: 1185-1197 (2024)- [c183]Alexander Werning, Reinhold Haeb-Umbach:
Target-Specific Dataset Pruning for Compression of Audio Tagging Models. EUSIPCO 2024: 61-65 - [c182]Yuying Xie, Michael Kuhlmann, Frederik Rautenberg, Zheng-Hua Tan, Reinhold Haeb-Umbach:
Speaker and Style Disentanglement of Speech Based on Contrastive Predictive Coding Supported Factorized Variational Autoencoder. EUSIPCO 2024: 436-440 - [c181]Thilo von Neumann, Christoph Böddeker, Tobias Cord-Landwehr, Marc Delcroix, Reinhold Haeb-Umbach:
Meeting Recognition with Continuous Speech Separation and Transcription-Supported Diarization. ICASSP Workshops 2024: 775-779 - [c180]Tobias Cord-Landwehr, Christoph Böddeker, Catalin Zorila, Rama Doddipatla, Reinhold Haeb-Umbach:
Geodesic Interpolation of Frame-Wise Speaker Embeddings for the Diarization of Meeting Scenarios. ICASSP 2024: 11886-11890 - [c179]Tobias Gburrek, Adrian Meise, Joerg Schmalenstroeer, Reinhold Haeb-Umbach:
Diminishing Domain Mismatch for DNN-Based Acoustic Distance Estimation via Stochastic Room Reverberation Models. IWAENC 2024: 279-283 - [i47]Tobias Gburrek, Adrian Meise, Joerg Schmalenstroeer, Reinhold Haeb-Umbach:
Diminishing Domain Mismatch for DNN-Based Acoustic Distance Estimation via Stochastic Room Reverberation Models. CoRR abs/2408.14213 (2024) - 2023
- [j40]Thilo von Neumann, Keisuke Kinoshita, Christoph Böddeker, Marc Delcroix, Reinhold Haeb-Umbach:
Segment-Less Continuous Speech Separation of Meetings: Training and Evaluation Criteria. IEEE ACM Trans. Audio Speech Lang. Process. 31: 576-589 (2023) - [c178]Tobias Gburrek, Joerg Schmalenstroeer, Reinhold Haeb-Umbach:
Spatial Diarization for Meeting Transcription with Ad-Hoc Acoustic Sensor Networks. ACSSC 2023: 1399-1403 - [c177]Tobias Gburrek, Joerg Schmalenstroeer, Reinhold Haeb-Umbach:
On the Integration of Sampling Rate Synchronization and Acoustic Beamforming. EUSIPCO 2023: 11-15 - [c176]Tobias Cord-Landwehr, Christoph Böddeker, Catalin Zorila, Rama Doddipatla, Reinhold Haeb-Umbach:
Frame-Wise and Overlap-Robust Speaker Embeddings for Meeting Diarization. ICASSP 2023: 1-5 - [c175]Thilo von Neumann, Christoph Böddeker, Keisuke Kinoshita, Marc Delcroix, Reinhold Haeb-Umbach:
On Word Error Rate Definitions and Their Efficient Computation for Multi-Speaker Speech Recognition Systems. ICASSP 2023: 1-5 - [c174]Simon Berger, Peter Vieting, Christoph Böddeker, Ralf Schlüter, Reinhold Haeb-Umbach:
Mixture Encoder for Joint Speech Separation and Recognition. INTERSPEECH 2023: 3527-3531 - [c173]Tobias Cord-Landwehr, Christoph Böddeker, Catalin Zorila, Rama Doddipatla, Reinhold Haeb-Umbach:
A Teacher-Student Approach for Extracting Informative Speaker Embeddings From Speech Mixtures. INTERSPEECH 2023: 4703-4707 - [c172]Fritz Seebauer, Michael Kuhlmann, Reinhold Haeb-Umbach, Petra Wagner:
Re-examining the quality dimensions of synthetic speech. SSW 2023: 34-40 - [i46]Christoph Böddeker, Aswin Shanmugam Subramanian, Gordon Wichern, Reinhold Haeb-Umbach, Jonathan Le Roux:
TS-SEP: Joint Diarization and Separation Conditioned on Estimated Speaker Embeddings. CoRR abs/2303.03849 (2023) - [i45]Tobias Cord-Landwehr, Christoph Böddeker, Catalin Zorila, Rama Doddipatla, Reinhold Haeb-Umbach:
A Teacher-Student approach for extracting informative speaker embeddings from speech mixtures. CoRR abs/2306.00634 (2023) - [i44]Simon Berger, Peter Vieting, Christoph Böddeker, Ralf Schlüter, Reinhold Haeb-Umbach:
Mixture Encoder for Joint Speech Separation and Recognition. CoRR abs/2306.12173 (2023) - [i43]Janek Ebbers, Reinhold Haeb-Umbach, Romain Serizel:
Post-Processing Independent Evaluation of Sound Event Detection Systems. CoRR abs/2306.15440 (2023) - [i42]Thilo von Neumann, Christoph Böddeker, Marc Delcroix, Reinhold Haeb-Umbach:
MeetEval: A Toolkit for Computation of Word Error Rates for Meeting Transcription Systems. CoRR abs/2307.11394 (2023) - [i41]Joerg Schmalenstroeer, Tobias Gburrek, Reinhold Haeb-Umbach:
LibriWASN: A Data Set for Meeting Separation, Diarization, and Recognition with Asynchronous Recording Devices. CoRR abs/2308.10682 (2023) - [i40]Peter Vieting, Simon Berger, Thilo von Neumann, Christoph Böddeker, Ralf Schlüter, Reinhold Haeb-Umbach:
Mixture Encoder Supporting Continuous Speech Separation for Meeting Recognition. CoRR abs/2309.08454 (2023) - [i39]Thilo von Neumann, Christoph Böddeker, Tobias Cord-Landwehr, Marc Delcroix, Reinhold Haeb-Umbach:
Meeting Recognition with Continuous Speech Separation and Transcription-Supported Diarization. CoRR abs/2309.16482 (2023) - [i38]Tobias Gburrek, Joerg Schmalenstroeer, Reinhold Haeb-Umbach:
Spatial Diarization for Meeting Transcription with Ad-Hoc Acoustic Sensor Networks. CoRR abs/2311.15597 (2023) - 2022
- [j39]Christopher Grimm, Tai Fei, Ernst Warsitz, Ridha Farhoud, Tobias Breddermann, Reinhold Haeb-Umbach:
Warping of Radar Data Into Camera Image for Cross-Modal Supervision in Automotive Applications. IEEE Trans. Veh. Technol. 71(9): 9435-9449 (2022) - [c171]Jens Heitkaemper, Joerg Schmalenstroeer, Reinhold Haeb-Umbach:
Neural Network Based Carrier Frequency Offset Estimation From Speech Transmitted Over High Frequency Channels. EUSIPCO 2022: 289-293 - [c170]Tobias Gburrek, Joerg Schmalenstroeer, Reinhold Haeb-Umbach:
On Synchronization of Wireless Acoustic Sensor Networks in the Presence of Time-Varying Sampling Rate Offsets and Speaker Changes. ICASSP 2022: 916-920 - [c169]Janek Ebbers, Reinhold Haeb-Umbach, Romain Serizel:
Threshold Independent Evaluation of Sound Event Detection Scores. ICASSP 2022: 1021-1025 - [c168]Thilo von Neumann, Keisuke Kinoshita, Christoph Böddeker, Marc Delcroix, Reinhold Haeb-Umbach:
SA-SDR: A Novel Loss Function for Separation of Meeting Style Data. ICASSP 2022: 6022-6026 - [c167]Christoph Böddeker, Tobias Cord-Landwehr, Thilo von Neumann, Reinhold Haeb-Umbach:
An Initialization Scheme for Meeting Separation with Spatial Mixture Models. INTERSPEECH 2022: 271-275 - [c166]Keisuke Kinoshita, Thilo von Neumann, Marc Delcroix, Christoph Böddeker, Reinhold Haeb-Umbach:
Utterance-by-utterance overlap-aware neural diarization with Graph-PIT. INTERSPEECH 2022: 1486-1490 - [c165]Michael Kuhlmann, Fritz Seebauer, Janek Ebbers, Petra Wagner, Reinhold Haeb-Umbach:
Investigation into Target Speaking Rate Adaptation for Voice Conversion. INTERSPEECH 2022: 4930-4934 - [c164]Tobias Cord-Landwehr, Christoph Böddeker, Thilo von Neumann, Catalin Zorila, Rama Doddipatla, Reinhold Haeb-Umbach:
Monaural Source Separation: From Anechoic To Reverberant Environments. IWAENC 2022: 1-5 - [c163]Tobias Cord-Landwehr, Thilo von Neumann, Christoph Böddeker, Reinhold Haeb-Umbach:
MMS-MSG: A Multi-Purpose Multi-Speaker Mixture Signal Generator. IWAENC 2022: 1-5 - [c162]Tobias Gburrek, Joerg Schmalenstroeer, Jens Heitkaemper, Reinhold Haeb-Umbach:
Informed vs. Blind beamforming in AD-HOC Acoustic Sensor Networks for Meeting Transcription. IWAENC 2022: 1-5 - [i37]Janek Ebbers, Romain Serizel, Reinhold Haeb-Umbach:
Threshold Independent Evaluation of Sound Event Detection Scores. CoRR abs/2201.13148 (2022) - [i36]Christoph Böddeker, Tobias Cord-Landwehr, Thilo von Neumann, Reinhold Haeb-Umbach:
An Initialization Scheme for Meeting Separation with Spatial Mixture Models. CoRR abs/2204.01338 (2022) - [i35]Tobias Gburrek, Christoph Böddeker, Thilo von Neumann, Tobias Cord-Landwehr, Joerg Schmalenstroeer, Reinhold Haeb-Umbach:
A Meeting Transcription System for an Ad-Hoc Acoustic Sensor Network. CoRR abs/2205.00944 (2022) - [i34]Keisuke Kinoshita, Thilo von Neumann, Marc Delcroix, Christoph Böddeker, Reinhold Haeb-Umbach:
Utterance-by-utterance overlap-aware neural diarization with Graph-PIT. CoRR abs/2207.13888 (2022) - [i33]Thilo von Neumann, Christoph Böddeker, Keisuke Kinoshita, Marc Delcroix, Reinhold Haeb-Umbach:
On Word Error Rate Definitions and their Efficient Computation for Multi-Speaker Speech Recognition Systems. CoRR abs/2211.16112 (2022) - 2021
- [j38]Tobias Gburrek, Joerg Schmalenstroeer, Reinhold Haeb-Umbach:
Geometry calibration in wireless acoustic sensor networks utilizing DoA and distance information. EURASIP J. Audio Speech Music. Process. 2021(1): 25 (2021) - [j37]Reinhold Haeb-Umbach, Jahn Heymann, Lukas Drude, Shinji Watanabe, Marc Delcroix, Tomohiro Nakatani:
Far-Field Automatic Speech Recognition. Proc. IEEE 109(2): 124-148 (2021) - [j36]Katharina J. Rohlfing, Philipp Cimiano, Ingrid Scharlau, Tobias Matzner, Heike M. Buhl, Hendrik Buschmeier, Elena Esposito, Angela Grimminger, Barbara Hammer, Reinhold Häb-Umbach, Ilona Horwath, Eyke Hüllermeier, Friederike Kern, Stefan Kopp, Kirsten Thommes, Axel-Cyrille Ngonga Ngomo, Carsten Schulte, Henning Wachsmuth, Petra Wagner, Britta Wrede:
Explanation as a Social Practice: Toward a Conceptual Framework for the Social Design of AI Systems. IEEE Trans. Cogn. Dev. Syst. 13(3): 717-728 (2021) - [c161]Christoph Böddeker, Frederik Rautenberg, Reinhold Haeb-Umbach:
A Comparison and Combination of Unsupervised Blind Source Separation Techniques. ITG Conference on Speech Communication 2021: 1-5 - [c160]Tobias Gburrek, Joerg Schmalenstroeer, Reinhold Haeb-Umbach:
On Source-Microphone Distance Estimation Using Convolutional Recurrent Neural Networks. ITG Conference on Speech Communication 2021: 1-5 - [c159]Thilo von Neumann, Christoph Böddeker, Keisuke Kinoshita, Marc Delcroix, Reinhold Haeb-Umbach:
Speeding Up Permutation Invariant Training for Source Separation. ITG Conference on Speech Communication 2021: 1-5 - [c158]Janek Ebbers, Reinhold Haeb-Umbach:
Self-Trained Audio Tagging and Sound Event Detection in Domestic Environments. DCASE 2021: 226-230 - [c157]Joerg Schmalenstroeer, Jens Heitkaemper, Joerg Ullmann, Reinhold Haeb-Umbach:
Open Range Pitch Tracking for Carrier Frequency Difference Estimation from HF Transmitted Speech. EUSIPCO 2021: 1-5 - [c156]Janek Ebbers, Moritz Curt Keyser, Reinhold Haeb-Umbach:
Adapting Sound Recognition to A New Environment Via Self-Training. EUSIPCO 2021: 1135-1139 - [c155]Tobias Gburrek, Joerg Schmalenstroeer, Reinhold Haeb-Umbach:
Iterative Geometry Calibration from Distance Estimates for Wireless Acoustic Sensor Networks. ICASSP 2021: 741-745 - [c154]Janek Ebbers, Michael Kuhlmann, Tobias Cord-Landwehr, Reinhold Haeb-Umbach:
Contrastive Predictive Coding Supported Factorized Variational Autoencoder For Unsupervised Learning Of Disentangled Speech Representations. ICASSP 2021: 3860-3864 - [c153]Wangyou Zhang, Christoph Böddeker, Shinji Watanabe, Tomohiro Nakatani, Marc Delcroix, Keisuke Kinoshita, Tsubasa Ochiai, Naoyuki Kamo, Reinhold Haeb-Umbach, Yanmin Qian:
End-to-End Dereverberation, Beamforming, and Speech Recognition with Improved Numerical Stability and Advanced Frontend. ICASSP 2021: 6898-6902 - [c152]Christoph Böddeker, Wangyou Zhang, Tomohiro Nakatani, Keisuke Kinoshita, Tsubasa Ochiai, Marc Delcroix, Naoyuki Kamo, Yanmin Qian, Reinhold Haeb-Umbach:
Convolutive Transfer Function Invariant SDR Training Criteria for Multi-Channel Reverberant Speech Separation. ICASSP 2021: 8428-8432 - [c151]Thilo von Neumann, Keisuke Kinoshita, Christoph Böddeker, Marc Delcroix, Reinhold Haeb-Umbach:
Graph-PIT: Generalized Permutation Invariant Training for Continuous Separation of Arbitrary Numbers of Speakers. Interspeech 2021: 3490-3494 - [i32]Wangyou Zhang, Christoph Böddeker, Shinji Watanabe, Tomohiro Nakatani, Marc Delcroix, Keisuke Kinoshita, Tsubasa Ochiai, Naoyuki Kamo, Reinhold Haeb-Umbach, Yanmin Qian:
End-to-End Dereverberation, Beamforming, and Speech Recognition with Improved Numerical Stability and Advanced Frontend. CoRR abs/2102.11525 (2021) - [i31]Joerg Schmalenstroeer, Jens Heitkaemper, Joerg Ullmann, Reinhold Haeb-Umbach:
Open Range Pitch Tracking for Carrier Frequency Difference Estimation from HF Transmitted Speech. CoRR abs/2103.01599 (2021) - [i30]Janek Ebbers, Reinhold Haeb-Umbach:
Forward-Backward Convolutional Recurrent Neural Networks and Tag-Conditioned Convolutional Neural Networks for Weakly Labeled Semi-supervised Sound Event Detection. CoRR abs/2103.06581 (2021) - [i29]Thomas Glarner, Janek Ebbers, Reinhold Häb-Umbach:
Voice Conversion Based Speaker Normalization for Acoustic Unit Discovery. CoRR abs/2105.01786 (2021) - [i28]Jens Heitkaemper, Joerg Schmalenstroeer, Joerg Ullmann, Valentin Ion, Reinhold Haeb-Umbach:
A Database for Research on Detection and Enhancement of Speech Transmitted over HF links. CoRR abs/2106.02472 (2021) - [i27]Christoph Böddeker, Frederik Rautenberg, Reinhold Haeb-Umbach:
A Comparison and Combination of Unsupervised Blind Source Separation Techniques. CoRR abs/2106.05627 (2021) - [i26]Thilo von Neumann, Christoph Böddeker, Keisuke Kinoshita, Marc Delcroix, Reinhold Haeb-Umbach:
Speeding Up Permutation Invariant Training for Source Separation. CoRR abs/2107.14445 (2021) - [i25]Thilo von Neumann, Keisuke Kinoshita, Christoph Böddeker, Marc Delcroix, Reinhold Haeb-Umbach:
Graph-PIT: Generalized permutation invariant training for continuous separation of arbitrary numbers of speakers. CoRR abs/2107.14446 (2021) - [i24]Tobias Gburrek, Joerg Schmalenstroeer, Reinhold Haeb-Umbach:
On Synchronization of Wireless Acoustic Sensor Networks in the Presence of Time-varying Sampling Rate Offsets and Speaker Changes. CoRR abs/2110.12820 (2021) - [i23]Thilo von Neumann, Keisuke Kinoshita, Christoph Böddeker, Marc Delcroix, Reinhold Haeb-Umbach:
SA-SDR: A novel loss function for separation of meeting style data. CoRR abs/2110.15581 (2021) - [i22]Tobias Cord-Landwehr, Christoph Böddeker, Thilo von Neumann, Catalin Zorila, Rama Doddipatla, Reinhold Haeb-Umbach:
Monaural source separation: From anechoic to reverberant environments. CoRR abs/2111.07578 (2021) - 2020
- [j35]Tomohiro Nakatani, Christoph Böddeker, Keisuke Kinoshita, Rintaro Ikeshita, Marc Delcroix, Reinhold Haeb-Umbach:
Jointly Optimal Denoising, Dereverberation, and Source Separation. IEEE ACM Trans. Audio Speech Lang. Process. 28: 2267-2282 (2020) - [c150]Janek Ebbers, Reinhold Haeb-Umbach:
Forward-Backward Convolutional Recurrent Neural Networks and Tag-Conditioned Convolutional Neural Networks for Weakly Labeled Semi-Supervised Sound Event Detection. DCASE 2020: 41-45 - [c149]Tobias Gburrek, Joerg Schmalenstroeer, Andreas Brendel, Walter Kellermann, Reinhold Haeb-Umbach:
Deep Neural Network based Distance Estimation for Geometry Calibration in Acoustic Sensor Networks. EUSIPCO 2020: 196-200 - [c148]Christoph Böddeker, Tomohiro Nakatani, Keisuke Kinoshita, Reinhold Haeb-Umbach:
Jointly Optimal Dereverberation and Beamforming. ICASSP 2020: 216-220 - [c147]Jens Heitkaemper, Darius Jakobeit, Christoph Böddeker, Lukas Drude, Reinhold Haeb-Umbach:
Demystifying TasNet: A Dissecting Approach. ICASSP 2020: 6359-6363 - [c146]Thilo von Neumann, Keisuke Kinoshita, Lukas Drude, Christoph Böddeker, Marc Delcroix, Tomohiro Nakatani, Reinhold Haeb-Umbach:
End-to-End Training of Time Domain Audio Separation and Recognition. ICASSP 2020: 7004-7008 - [c145]Jens Heitkaemper, Joerg Schmalenstroeer, Reinhold Haeb-Umbach:
Statistical and Neural Network Based Speech Activity Detection in Non-Stationary Acoustic Environments. INTERSPEECH 2020: 2597-2601 - [c144]Keisuke Kinoshita, Thilo von Neumann, Marc Delcroix, Tomohiro Nakatani, Reinhold Haeb-Umbach:
Multi-Path RNN for Hierarchical Modeling of Long Sequential Data and its Application to Speaker Stream Separation. INTERSPEECH 2020: 2652-2656 - [c143]Thilo von Neumann, Christoph Böddeker, Lukas Drude, Keisuke Kinoshita, Marc Delcroix, Tomohiro Nakatani, Reinhold Haeb-Umbach:
Multi-Talker ASR for an Unknown Number of Sources: Joint Training of Source Counting, Separation and ASR. INTERSPEECH 2020: 3097-3101 - [i21]Tomohiro Nakatani, Christoph Böddeker, Keisuke Kinoshita, Rintaro Ikeshita, Marc Delcroix, Reinhold Haeb-Umbach:
Jointly optimal denoising, dereverberation, and source separation. CoRR abs/2005.09843 (2020) - [i20]Jens Heitkaemper, Joerg Schmalenstroeer, Reinhold Haeb-Umbach:
Statistical and Neural Network Based Speech Activity Detection in Non-Stationary Acoustic Environments. CoRR abs/2005.09913 (2020) - [i19]Janek Ebbers, Michael Kuhlmann, Reinhold Haeb-Umbach:
Adversarial Contrastive Predictive Coding for Unsupervised Learning of Disentangled Representations. CoRR abs/2005.12963 (2020) - [i18]Thilo von Neumann, Christoph Böddeker, Lukas Drude, Keisuke Kinoshita, Marc Delcroix, Tomohiro Nakatani, Reinhold Haeb-Umbach:
Multi-talker ASR for an unknown number of sources: Joint training of source counting, separation and ASR. CoRR abs/2006.02786 (2020) - [i17]Keisuke Kinoshita, Thilo von Neumann, Marc Delcroix, Tomohiro Nakatani, Reinhold Haeb-Umbach:
Multi-path RNN for hierarchical modeling of long sequential data and its application to speaker stream separation. CoRR abs/2006.13579 (2020) - [i16]Tobias Gburrek, Joerg Schmalenstroeer, Andreas Brendel, Walter Kellermann, Reinhold Haeb-Umbach:
Deep Neural Network based Distance Estimation for Geometry Calibration in Acoustic Sensor Networks. CoRR abs/2006.13769 (2020) - [i15]Christoph Böddeker, Wangyou Zhang, Tomohiro Nakatani, Keisuke Kinoshita, Tsubasa Ochiai, Marc Delcroix, Naoyuki Kamo, Yanmin Qian, Shinji Watanabe, Reinhold Haeb-Umbach:
Convolutive Transfer Function Invariant SDR training criteria for Multi-Channel Reverberant Speech Separation. CoRR abs/2011.15003 (2020) - [i14]Tobias Gburrek, Joerg Schmalenstroeer, Reinhold Haeb-Umbach:
Iterative Geometry Calibration from Distance Estimates for Wireless Acoustic Sensor Networks. CoRR abs/2012.06142 (2020) - [i13]Christopher Grimm, Tai Fei, Ernst Warsitz, Ridha Farhoud, Tobias Breddermann, Reinhold Haeb-Umbach:
Warping of Radar Data into Camera Image for Cross-Modal Supervision in Automotive Applications. CoRR abs/2012.12809 (2020)
2010 – 2019
- 2019
- [j34]Shinji Watanabe, Shoko Araki, Michiel Bacchiani, Reinhold Haeb-Umbach, Michael L. Seltzer:
Introduction to the Issue on Far-Field Speech Processing in the Era of Deep Learning: Speech Enhancement, Separation, and Recognition. IEEE J. Sel. Top. Signal Process. 13(4): 785-786 (2019) - [j33]Lukas Drude, Reinhold Haeb-Umbach:
Integration of Neural Networks and Probabilistic Spatial Models for Acoustic Blind Source Separation. IEEE J. Sel. Top. Signal Process. 13(4): 815-826 (2019) - [j32]Reinhold Haeb-Umbach, Shinji Watanabe, Tomohiro Nakatani, Michiel Bacchiani, Björn Hoffmeister, Michael L. Seltzer, Heiga Zen, Mehrez Souden:
Speech Processing for Digital Home Assistants: Combining signal processing with deep-learning techniques. IEEE Signal Process. Mag. 36(6): 111-124 (2019) - [c142]Catalin Zorila, Christoph Böddeker, Rama Doddipatla, Reinhold Haeb-Umbach:
An Investigation into the Effectiveness of Enhancement in ASR Training and Test for Chime-5 Dinner Party Transcription. ASRU 2019: 47-53 - [c141]Janek Ebbers, Lukas Drude, Reinhold Haeb-Umbach, Andreas Brendel, Walter Kellermann:
Weakly Supervised Sound Activity Detection and Event Classification in Acoustic Sensor Networks. CAMSAP 2019: 301-305 - [c140]Janek Ebbers, Reinhold Häb-Umbach:
Convolutional Recurrent Neural Network and Data Augmentation for Audio Tagging with Noisy Labels and Minimal Supervision. DCASE 2019: 64-68 - [c139]Thilo von Neumann, Keisuke Kinoshita, Marc Delcroix, Shoko Araki, Tomohiro Nakatani, Reinhold Haeb-Umbach:
All-neural Online Source Separation, Counting, and Diarization for Meeting Analysis. ICASSP 2019: 91-95 - [c138]Lukas Drude, Daniel Hasenklever, Reinhold Haeb-Umbach:
Unsupervised Training of a Deep Clustering Model for Multichannel Blind Source Separation. ICASSP 2019: 695-699 - [c137]Jahn Heymann, Lukas Drude, Reinhold Haeb-Umbach, Keisuke Kinoshita, Tomohiro Nakatani:
Joint Optimization of Neural Network-based WPE Dereverberation and Acoustic Model for Robust Online ASR. ICASSP 2019: 6655-6659 - [c136]Juan M. Martín-Doñas, Jens Heitkaemper, Reinhold Haeb-Umbach, Angel M. Gomez, Antonio M. Peinado:
Multi-Channel Block-Online Source Extraction Based on Utterance Adaptation. INTERSPEECH 2019: 96-100 - [c135]Naoyuki Kanda, Christoph Böddeker, Jens Heitkaemper, Yusuke Fujita, Shota Horiguchi, Kenji Nagamatsu, Reinhold Haeb-Umbach:
Guided Source Separation Meets a Strong ASR Backend: Hitachi/Paderborn University Joint Investigation for Dinner Party ASR. INTERSPEECH 2019: 1248-1252 - [c134]Lukas Drude, Jahn Heymann, Reinhold Haeb-Umbach:
Unsupervised Training of Neural Mask-Based Beamforming. INTERSPEECH 2019: 1253-1257 - [c133]Alexandru Nelus, Janek Ebbers, Reinhold Haeb-Umbach, Rainer Martin:
Privacy-Preserving Variational Information Feature Extraction for Domestic Activity Monitoring versus Speaker Identification. INTERSPEECH 2019: 3710-3714 - [c132]Jens Heitkaemper, Thomas Fehér, Michael Freitag, Reinhold Haeb-Umbach:
A Study on Online Source Extraction in the Presence of Changing Speaker Positions. SLSP 2019: 198-209 - [c131]Tobias Gburrek, Thomas Glarner, Janek Ebbers, Reinhold Haeb-Umbach, Petra Wagner:
Unsupervised Learning of a Disentangled Speech Representation for Voice Conversion. SSW 2019: 81-86 - [i12]Thilo von Neumann, Keisuke Kinoshita, Marc Delcroix, Shoko Araki, Tomohiro Nakatani, Reinhold Haeb-Umbach:
All-neural online source separation, counting, and diarization for meeting analysis. CoRR abs/1902.07881 (2019) - [i11]Lukas Drude, Daniel Hasenklever, Reinhold Haeb-Umbach:
Unsupervised training of a deep clustering model for multichannel blind source separation. CoRR abs/1904.01340 (2019) - [i10]Lukas Drude, Jahn Heymann, Reinhold Haeb-Umbach:
Unsupervised training of neural mask-based beamforming. CoRR abs/1904.01578 (2019) - [i9]Naoyuki Kanda, Christoph Böddeker, Jens Heitkaemper, Yusuke Fujita, Shota Horiguchi, Kenji Nagamatsu, Reinhold Haeb-Umbach:
Guided Source Separation Meets a Strong ASR Backend: Hitachi/Paderborn University Joint Investigation for Dinner Party ASR. CoRR abs/1905.12230 (2019) - [i8]Catalin Zorila, Christoph Böddeker, Rama Doddipatla, Reinhold Haeb-Umbach:
An Investigation into the Effectiveness of Enhancement in ASR Training and Test for CHiME-5 Dinner Party Transcription. CoRR abs/1909.12208 (2019) - [i7]Christoph Böddeker, Tomohiro Nakatani, Keisuke Kinoshita, Reinhold Haeb-Umbach:
Jointly optimal dereverberation and beamforming. CoRR abs/1910.13707 (2019) - [i6]Lukas Drude, Jens Heitkaemper, Christoph Böddeker, Reinhold Haeb-Umbach:
SMS-WSJ: Database, performance measures, and baseline recipe for multi-channel source separation and recognition. CoRR abs/1910.13934 (2019) - [i5]Jens Heitkaemper, Darius Jakobeit, Christoph Böddeker, Lukas Drude, Reinhold Haeb-Umbach:
Demystifying TasNet: A Dissecting Approach. CoRR abs/1911.08895 (2019) - [i4]Thilo von Neumann, Keisuke Kinoshita, Lukas Drude, Christoph Böddeker, Marc Delcroix, Tomohiro Nakatani, Reinhold Haeb-Umbach:
End-to-end training of time domain audio separation and recognition. CoRR abs/1912.08462 (2019) - 2018
- [j31]Vladimir Despotovic, Oliver Walter, Reinhold Haeb-Umbach:
Machine learning techniques for semantic analysis of dysarthric speech: An experimental study. Speech Commun. 99: 242-251 (2018) - [c130]Haitham Afifi, Joerg Schmalenstroeer, Joerg Ullmann, Reinhold Haeb-Umbach, Holger Karl:
MARVELO - A Framework for Signal Processing in Wireless Acoustic Sensor Networks. ITG Symposium on Speech Communication 2018: 1-5 - [c129]Lukas Drude, Jahn Heymann, Christoph Böddeker, Reinhold Haeb-Umbach:
NARA-WPE: A Python package for weighted prediction error dereverberation in Numpy and Tensorflow for online and offline processing. ITG Symposium on Speech Communication 2018: 1-5 - [c128]Janek Ebbers, Jens Heitkaemper, Joerg Schmalenstroeer, Reinhold Haeb-Umbach:
Benchmarking Neural Network Architectures for Acoustic Sensor Networks. ITG Symposium on Speech Communication 2018: 1-5 - [c127]Jens Heitkaemper, Jahn Heymann, Reinhold Haeb-Umbach:
Smoothing along Frequency in Online Neural Network Supported Acoustic Beamforming. ITG Symposium on Speech Communication 2018: 1-5 - [c126]Joerg Schmalenstroeer, Reinhold Haeb-Umbach:
Insights into the Interplay of Sampling Rate Offsets and MVDR Beamforming. ITG Symposium on Speech Communication 2018: 1-5 - [c125]Joerg Schmalenstroeer, Reinhold Haeb-Umbach:
Efficient Sampling Rate Offset Compensation - an Overlap-Save Based Approach. EUSIPCO 2018: 499-503 - [c124]Lukas Drude, Thilo von Neumann, Reinhold Haeb-Umbach:
Deep Attractor Networks for Speaker Re-Identification and Blind Source Separation. ICASSP 2018: 11-15 - [c123]Lukas Drude, Takuya Higuchi, Keisuke Kinoshita, Tomohiro Nakatani, Reinhold Haeb-Umbach:
Dual Frequency- and Block-Permutation Alignment for Deep Learning Based Block-Online Blind Source Separation. ICASSP 2018: 691-695 - [c122]Christoph Böddeker, Hakan Erdogan, Takuya Yoshioka, Reinhold Haeb-Umbach:
Exploring Practical Aspects of Neural Mask-Based Beamforming for Far-Field Speech Recognition. ICASSP 2018: 6697-6701 - [c121]Thomas Glarner, Patrick Hanebrink, Janek Ebbers, Reinhold Haeb-Umbach:
Full Bayesian Hidden Markov Model Variational Autoencoder for Acoustic Unit Discovery. INTERSPEECH 2018: 2688-2692 - [c120]Lukas Drude, Christoph Böddeker, Jahn Heymann, Reinhold Haeb-Umbach, Keisuke Kinoshita, Marc Delcroix, Tomohiro Nakatani:
Integrating Neural Network Based Beamforming and Weighted Prediction Error Dereverberation. INTERSPEECH 2018: 3043-3047 - [c119]Jahn Heymann, Lukas Drude, Reinhold Haeb-Umbach, Keisuke Kinoshita, Tomohiro Nakatani:
Frame-Online DNN-WPE Dereverberation. IWAENC 2018: 466-470 - 2017
- [j30]Jahn Heymann, Lukas Drude, Reinhold Haeb-Umbach:
A generic neural acoustic beamforming architecture for robust multi-channel speech processing. Comput. Speech Lang. 46: 374-385 (2017) - [c118]Christoph Böddeker, Patrick Hanebrink, Lukas Drude, Jahn Heymann, Reinhold Haeb-Umbach:
Optimizing neural-network supported acoustic beamforming by algorithmic differentiation. ICASSP 2017: 171-175 - [c117]Aleksej Chinaev, Reinhold Haeb-Umbach:
A generalized log-spectral amplitude estimator for single-channel speech enhancement. ICASSP 2017: 4980-4984 - [c116]Jahn Heymann, Lukas Drude, Christoph Böddeker, Patrick Hanebrink, Reinhold Haeb-Umbach:
Beamnet: End-to-end training of a beamformer-supported multi-channel ASR system. ICASSP 2017: 5325-5329 - [c115]Janek Ebbers, Jahn Heymann, Lukas Drude, Thomas Glarner, Reinhold Haeb-Umbach, Bhiksha Raj:
Hidden Markov Model Variational Autoencoder for Acoustic Unit Discovery. INTERSPEECH 2017: 488-492 - [c114]Thomas Glarner, Benedikt T. Boenninghoff, Oliver Walter, Reinhold Haeb-Umbach:
Leveraging Text Data for Word Segmentation for Underresourced Languages. INTERSPEECH 2017: 2143-2147 - [c113]Lukas Drude, Reinhold Haeb-Umbach:
Tight Integration of Spatial and Spectral Features for BSS with Deep Clustering Embeddings. INTERSPEECH 2017: 2650-2654 - [c112]Prerna Arora, Reinhold Haeb-Umbach:
A study on transfer learning for acoustic event detection in a real life scenario. MMSP 2017: 1-6 - [c111]Joerg Schmalenstroeer, Jahn Heymann, Lukas Drude, Christoph Böddeker, Reinhold Haeb-Umbach:
Multi-stage coherence drift based sampling rate synchronization for acoustic beamforming. MMSP 2017: 1-6 - [p6]Keisuke Kinoshita, Marc Delcroix, Sharon Gannot, Emanuël A. P. Habets, Reinhold Haeb-Umbach, Walter Kellermann, Volker Leutnant, Roland Maas, Tomohiro Nakatani, Bhiksha Raj, Armin Sehr, Takuya Yoshioka:
The REVERB Challenge: A Benchmark Task for Reverberation-Robust ASR Techniques. New Era for Robust Speech Recognition, Exploiting Deep Learning 2017: 345-354 - [i3]Christoph Böddeker, Patrick Hanebrink, Lukas Drude, Jahn Heymann, Reinhold Haeb-Umbach:
On the Computation of Complex-valued Gradients with Application to Statistically Optimum Beamforming. CoRR abs/1701.00392 (2017) - [i2]Gerhard Kurz, Igor Gilitschenski, Florian Pfaff, Lukas Drude, Uwe D. Hanebeck, Reinhold Haeb-Umbach, Roland Yves Siegwart:
Directional Statistics and Filtering Using libDirectional. CoRR abs/1712.09718 (2017) - 2016
- [j29]Keisuke Kinoshita, Marc Delcroix, Sharon Gannot, Emanuël A. P. Habets, Reinhold Haeb-Umbach, Walter Kellermann, Volker Leutnant, Roland Maas, Tomohiro Nakatani, Bhiksha Raj, Armin Sehr, Takuya Yoshioka:
A summary of the REVERB challenge: state-of-the-art and remaining challenges in reverberant speech processing research. EURASIP J. Adv. Signal Process. 2016: 7 (2016) - [j28]Axel Plinge, Florian Jacob, Reinhold Haeb-Umbach, Gernot A. Fink:
Acoustic Microphone Geometry Calibration: An overview and experimental evaluation of state-of-the-art algorithms. IEEE Signal Process. Mag. 33(4): 14-29 (2016) - [c110]Aleksej Chinaev, Jahn Heymann, Lukas Drude, Reinhold Haeb-Umbach:
Noise-Presence-Probability-Based Noise PSD Estimation by Using DNNs. ITG Symposium on Speech Communication 2016: 1-5 - [c109]Aleksej Chinaev, Jens Heitkaemper, Reinhold Haeb-Umbach:
A Priori SNR Estimation Using Weibull Mixture Model. ITG Symposium on Speech Communication 2016: 1-5 - [c108]Thomas Glarner, Mohammad Mahdi Momenzadeh, Lukas Drude, Reinhold Haeb-Umbach:
Factor Graph Decoding for Speech Presence Probability Estimation. ITG Symposium on Speech Communication 2016: 1-5 - [c107]Florian Jacob, Reinhold Haeb-Umbach:
On the Bias of Direction of Arrival Estimation Using Linear Microphone Arrays. ITG Symposium on Speech Communication 2016: 1-5 - [c106]Markus Kitza, Albert Zeyer, Ralf Schlüter, Jahn Heymann, Reinhold Haeb-Umbach:
Robust Online Multi-Channel Speech Recognition. ITG Symposium on Speech Communication 2016: 1-5 - [c105]Joerg Schmalenstroeer, Reinhold Haeb-Umbach:
Investigations into Bluetooth low energy localization precision limits. EUSIPCO 2016: 652-656 - [c104]Lukas Drude, Christoph Böddeker, Reinhold Haeb-Umbach:
Blind speech separation based on complex spherical k-mode clustering. ICASSP 2016: 141-145 - [c103]Jahn Heymann, Lukas Drude, Reinhold Haeb-Umbach:
Neural network based spectral mask estimation for acoustic beamforming. ICASSP 2016: 196-200 - [c102]Lukas Drude, Bhiksha Raj, Reinhold Haeb-Umbach:
On the Appropriateness of Complex-Valued Neural Networks for Speech Enhancement. INTERSPEECH 2016: 1745-1749 - [c101]Aleksej Chinaev, Reinhold Haeb-Umbach:
A priori SNR Estimation Using a Generalized Decision Directed Approach. INTERSPEECH 2016: 3758-3762 - 2015
- [j27]Oliver Walter, Reinhold Haeb-Umbach, Bassam Mokbel, Benjamin Paaßen, Barbara Hammer:
Autonomous Learning of Representations. Künstliche Intell. 29(4): 339-351 (2015) - [j26]Joerg Schmalenstroeer, Patrick Jebramcik, Reinhold Haeb-Umbach:
A combined hardware-software approach for acoustic sensor network synchronization. Signal Process. 107: 171-184 (2015) - [c100]Jahn Heymann, Lukas Drude, Aleksej Chinaev, Reinhold Haeb-Umbach:
BLSTM supported GEV beamformer front-end for the 3RD CHiME challenge. ASRU 2015: 444-451 - [c99]Lukas Drude, Florian Jacob, Reinhold Haeb-Umbach:
DOA-estimation based on a complex Watson kernel method. EUSIPCO 2015: 255-259 - [c98]Oliver Walter, Lukas Drude, Reinhold Haeb-Umbach:
Source counting in speech mixtures by nonparametric Bayesian estimation of an infinite Gaussian mixture model. ICASSP 2015: 459-463 - [c97]Manh Kha Hoang, Joerg Schmalenstroeer, Reinhold Haeb-Umbach:
Aligning training modelswith smartphone properties in WiFi fingerprinting based indoor localization. ICASSP 2015: 1981-1985 - [c96]Jahn Heymann, Reinhold Haeb-Umbach, Pavel Golik, Ralf Schlüter:
Unsupervised adaptation of a denoising autoencoder by Bayesian Feature Enhancement for reverberant asr under mismatch conditions. ICASSP 2015: 5053-5057 - [c95]Erik Marchi, Björn W. Schuller, Simon Baron-Cohen, Ofer Golan, Sven Bölte, Prerna Arora, Reinhold Häb-Umbach:
Typicality and emotion in the voice of children with autism spectrum condition: evidence across three languages. INTERSPEECH 2015: 115-119 - [c94]Aleksej Chinaev, Reinhold Haeb-Umbach:
On optimal smoothing in minimum statistics based noise tracking. INTERSPEECH 2015: 1785-1789 - [c93]Vladimir Despotovic, Oliver Walter, Reinhold Haeb-Umbach:
Semantic analysis of spoken input using Markov logic networks. INTERSPEECH 2015: 1859-1863 - [i1]Florian Jacob, Reinhold Haeb-Umbach:
Absolute Geometry Calibration of Distributed Microphone Arrays in an Audio-Visual Sensor Network. CoRR abs/1504.03128 (2015) - 2014
- [j25]Volker Leutnant, Alexander Krueger, Reinhold Haeb-Umbach:
A New Observation Model in the Logarithmic Mel Power Spectral Domain for the Automatic Recognition of Noisy Reverberant Speech. IEEE ACM Trans. Audio Speech Lang. Process. 22(1): 95-109 (2014) - [j24]Jinyu Li, Li Deng, Yifan Gong, Reinhold Haeb-Umbach:
An Overview of Noise-Robust Automatic Speech Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 22(4): 745-777 (2014) - [c92]Aleksej Chinaev, Marc Püls, Reinhold Haeb-Umbach:
Spectral Noise Tracking for Improved Nonstationary Noise Robust ASR. ITG Symposium on Speech Communication 2014: 1-4 - [c91]Florian Jacob, Reinhold Haeb-Umbach:
Coordinate Mapping Between an Acoustic and Visual Sensor Network in the Shape Domain for a Joint Self-Calibrating Speaker Tracking. ITG Symposium on Speech Communication 2014: 1-4 - [c90]Joerg Schmalenstroeer, Weile Zhao, Reinhold Haeb-Umbach:
Online Observation ErrorModel Estimation for Acoustic Sensor Network Synchronization. ITG Symposium on Speech Communication 2014: 1-4 - [c89]Jahn Heymann, Oliver Walter, Reinhold Haeb-Umbach, Bhiksha Raj:
Iterative Bayesian word segmentation for unsupervised vocabulary discovery from phoneme lattices. ICASSP 2014: 4057-4061 - [c88]Lukas Drude, Aleksej Chinaev, Dang Hai Tran Vu, Reinhold Haeb-Umbach:
Source counting in speech mixtures using a variational EM approach for complex WATSON mixture models. ICASSP 2014: 6834-6838 - [c87]Joerg Schmalenstroeer, Patrick Jebramcik, Reinhold Haeb-Umbach:
A gossiping approach to sampling clock synchronization in wireless acoustic sensor networks. ICASSP 2014: 7575-7579 - [c86]Oliver Walter, Vladimir Despotovic, Reinhold Haeb-Umbach, Jort F. Gemmeke, Bart Ons, Hugo Van hamme:
An evaluation of unsupervised acoustic model training for a dysarthric speech interface. INTERSPEECH 2014: 1013-1017 - [c85]Lukas Drude, Aleksej Chinaev, Dang Hai Tran Vu, Reinhold Haeb-Umbach:
Towards online source counting in speech mixtures applying a variational EM for complex Watson mixture models. IWAENC 2014: 213-217 - 2013
- [j23]Volker Leutnant, Alexander Krueger, Reinhold Haeb-Umbach:
Bayesian Feature Enhancement for Reverberation and Noise Robust Speech Recognition. IEEE Trans. Speech Audio Process. 21(8): 1640-1652 (2013) - [c84]Oliver Walter, Timo Korthals, Reinhold Haeb-Umbach, Bhiksha Raj:
A hierarchical system for word discovery exploiting DTW-based initialization. ASRU 2013: 386-391 - [c83]Jahn Heymann, Oliver Walter, Reinhold Haeb-Umbach, Bhiksha Raj:
Unsupervised word segmentation from noisy input. ASRU 2013: 458-463 - [c82]Gerald Enzner, Dominic Schmid, Reinhold Haeb-Umbach:
On acoustic channel identification in multi-microphone systems via adaptive blind signal enhancement techniques. EUSIPCO 2013: 1-5 - [c81]Manh Kha Hoang, Joerg Schmalenstroeer, Christian Drueke, Dang Hai Tran Vu, Reinhold Haeb-Umbach:
A hidden Markov model for indoor user tracking based on WiFi fingerprinting and step detection. EUSIPCO 2013: 1-5 - [c80]Joerg Schmalenstroeer, Reinhold Haeb-Umbach:
Sampling rate synchronisation in acoustic sensor networks with a pre-trained clock skew error model. EUSIPCO 2013: 1-5 - [c79]Dang Hai Tran Vu, Reinhold Haeb-Umbach:
Blind speech separation exploiting temporal and spectral correlations using 2D-HMMs. EUSIPCO 2013: 1-5 - [c78]Florian Jacob, Joerg Schmalenstroeer, Reinhold Haeb-Umbach:
DOA-based microphone array postion self-calibration using circular statistics. ICASSP 2013: 116-120 - [c77]Dang Hai Tran Vu, Reinhold Haeb-Umbach:
Using the turbo principle for exploiting temporal and spectral correlations in speech presence probability estimation. ICASSP 2013: 863-867 - [c76]Aleksej Chinaev, Reinhold Haeb-Umbach:
Map-based estimation of the parameters of a Gaussian Mixture Model in the presence of noisy observations. ICASSP 2013: 3352-3356 - [c75]Manh Kha Hoang, Reinhold Haeb-Umbach:
Parameter estimation and classification of censored Gaussian data with application to WiFi indoor positioning. ICASSP 2013: 3721-3725 - [c74]Ahmed Hussen Abdelaziz, Steffen Zeiler, Dorothea Kolossa, Volker Leutnant, Reinhold Haeb-Umbach:
GMM-based significance decoding. ICASSP 2013: 6827-6831 - [c73]Aleksej Chinaev, Reinhold Haeb-Umbach, Jalal Taghia, Rainer Martin:
Improved single-channel nonstationary noise tracking by an optimized MAP-based postprocessor. ICASSP 2013: 7477-7481 - [c72]Manh Kha Hoang, Sarah Schmitz, Christian Drueke, Dang Hai Tran Vu, Joerg Schmalenstroeer, Reinhold Haeb-Umbach:
Server based indoor navigation using RSSI and inertial sensor information. WPNC 2013: 1-6 - [c71]Oliver Walter, Joerg Schmalenstroeer, Andreas Engler, Reinhold Haeb-Umbach:
Smartphone-based sensor fusion for improved vehicular navigation. WPNC 2013: 1-6 - 2012
- [c70]Aleksej Chinaev, Reinhold Haeb-Umbach:
Quality Analysis and Optimization of the MAP-based Noise Power Spectral Density Tracker. ITG Conference on Speech Communication 2012: 1-4 - [c69]Volker Leutnant, Alexander Krueger, Reinhold Haeb-Umbach:
Investigations Into a Statistical Observation Model for Logarithmic Mel Power Spectral Density Features of Noisy Reverberant Speech. ITG Conference on Speech Communication 2012: 1-4 - [c68]Aleksej Chinaev, Alexander Krueger, Dang Hai Tran Vu, Reinhold Haeb-Umbach:
Improved noise power spectral density tracking by a MAP-based postprocessor. ICASSP 2012: 4041-4044 - [c67]Alexander Krueger, Oliver Walter, Volker Leutnant, Reinhold Haeb-Umbach:
Bayesian Feature Enhancement for ASR of Noisy Reverberant Real-World Data. INTERSPEECH 2012: 807-810 - [c66]Florian Jacob, Joerg Schmalenstroeer, Reinhold Haeb-Umbach:
Microphone Array Position Self-Calibration from Reverberant Speech Input. IWAENC 2012 - [c65]Dang Hai Tran Vu, Reinhold Haeb-Umbach:
Exploiting Temporal Correlations in Joint Multichannel Speech Separation and Noise Suppression Using Hidden Markov Models. IWAENC 2012 - [p5]Reinhold Haeb-Umbach, Alexander Krueger:
Reverberant Speech Recognition. Techniques for Noise Robustness in Automatic Speech Recognition 2012: 251-281 - 2011
- [j22]Tobias Herbig, Franz Gerl, Wolfgang Minker, Reinhold Haeb-Umbach:
Adaptive systems for unsupervised speaker tracking and speech recognition. Evol. Syst. 2(3): 199-214 (2011) - [j21]Alexander Krueger, Ernst Warsitz, Reinhold Haeb-Umbach:
Speech Enhancement With a GSC-Like Structure Employing Eigenvector-Based Transfer Function Ratios Estimation. IEEE Trans. Speech Audio Process. 19(1): 206-219 (2011) - [c64]Alexander Krueger, Reinhold Haeb-Umbach:
MAP-based estimation of the parameters of non-stationary Gaussian processes from noisy observations. ICASSP 2011: 3596-3599 - [c63]Joerg Schmalenstroeer, Markus Bartek, Reinhold Haeb-Umbach:
Unsupervised Learning of Acoustic Events Using Dynamic Time Warping and Hierarchical K-Means++ Clustering. INTERSPEECH 2011: 305-308 - [c62]Joerg Schmalenstroeer, Florian Jacob, Reinhold Haeb-Umbach, Marius H. Hennecke, Gernot A. Fink:
Unsupervised Geometry Calibration of Acoustic Sensor Networks Using Source Correspondences. INTERSPEECH 2011: 597-600 - [c61]Volker Leutnant, Alexander Krueger, Reinhold Haeb-Umbach:
A Versatile Gaussian Splitting Approach to Non-Linear State Estimation and its Application to Noise-Robust ASR. INTERSPEECH 2011: 1641-1644 - [c60]Dang Hai Tran Vu, Reinhold Haeb-Umbach:
On Initial Seed Selection for Frequency Domain Blind Speech Separation. INTERSPEECH 2011: 1757-1760 - [p4]Reinhold Haeb-Umbach, Dorothea Kolossa:
Introduction. Robust Speech Recognition of Uncertain or Missing Data 2011: 1-5 - [p3]Reinhold Haeb-Umbach:
Uncertainty Decoding and Conditional Bayesian Estimation. Robust Speech Recognition of Uncertain or Missing Data 2011: 9-33 - [p2]Volker Leutnant, Reinhold Haeb-Umbach:
Conditional Bayesian Estimation Employing a Phase-Sensitive Observation Model for Noise Robust Speech Recognition. Robust Speech Recognition of Uncertain or Missing Data 2011: 187-221 - [p1]Alexander Krueger, Reinhold Haeb-Umbach:
A Model-Based Approach to Joint Compensation of Noise and Reverberation for Speech Recognition. Robust Speech Recognition of Uncertain or Missing Data 2011: 257-290 - [e1]Dorothea Kolossa, Reinhold Haeb-Umbach:
Robust Speech Recognition of Uncertain or Missing Data - Theory and Applications. Springer 2011, ISBN 978-3-642-21316-8 [contents] - 2010
- [j20]Zheng-Hua Tan, Reinhold Haeb-Umbach, Sadaoki Furui, James R. Glass, Maurizio Omologo:
Introduction to the Issue on Speech Processing for Natural Interaction With Intelligent Environments. IEEE J. Sel. Top. Signal Process. 4(5): 769-771 (2010) - [j19]Joerg Schmalenstroeer, Reinhold Haeb-Umbach:
Online Diarization of Streaming Audio-Visual Data for Smart Environments. IEEE J. Sel. Top. Signal Process. 4(5): 845-856 (2010) - [j18]Alexander Krueger, Reinhold Haeb-Umbach:
Model-Based Feature Enhancement for Reverberant Speech Recognition. IEEE Trans. Speech Audio Process. 18(7): 1692-1707 (2010) - [c59]Alexander Krueger, Volker Leutnant, Reinhold Haeb-Umbach, Marcel R. Ackermann, Johannes Blömer:
On the Initialization of Dynamic Models for Speech Features. Sprachkommunikation 2010: 1-4 - [c58]Dang Hai Tran Vu, Reinhold Haeb-Umbach:
Blind speech separation employing directional statistics in an Expectation Maximization framework. ICASSP 2010: 241-244 - [c57]Bhiksha Raj, Kevin W. Wilson, Alexander Krueger, Reinhold Haeb-Umbach:
Ungrounded independent non-negative factor analysis. INTERSPEECH 2010: 330-333 - [c56]Volker Leutnant, Reinhold Haeb-Umbach:
On the exploitation of hidden Markov models and linear dynamic models in a hybrid decoder architecture for continuous speech recognition. INTERSPEECH 2010: 2946-2949 - [c55]Maik Bevermeier, Oliver Walter, Sven Peschke, Reinhold Haeb-Umbach:
Barometric height estimation combined with map-matching in a loosely-coupled Kalman-filter. WPNC 2010: 128-134
2000 – 2009
- 2009
- [j17]Stefan Windmann, Reinhold Haeb-Umbach:
Approaches to Iterative Speech Feature Enhancement and Recognition. IEEE Trans. Speech Audio Process. 17(5): 974-984 (2009) - [j16]Stefan Windmann, Reinhold Haeb-Umbach:
Parameter Estimation of a State-Space Model of Noise for Robust Speech Recognition. IEEE Trans. Speech Audio Process. 17(8): 1577-1590 (2009) - [c54]Joerg Schmalenstroeer, Martin Kelling, Volker Leutnant, Reinhold Haeb-Umbach:
Fusing audio and video information for online speaker diarization. INTERSPEECH 2009: 1163-1166 - [c53]Alexander Krueger, Reinhold Haeb-Umbach:
Model based feature enhancement for automatic speech recognition in reverberant environments. INTERSPEECH 2009: 1231-1234 - [c52]Volker Leutnant, Reinhold Haeb-Umbach:
An analytic derivation of a phase-sensitive observation model for noise robust speech recognition. INTERSPEECH 2009: 2395-2398 - [c51]Maik Bevermeier, Sven Peschke, Reinhold Haeb-Umbach:
Joint Parameter Estimation and Tracking in a Multi-Stage Kalman Filter for Vehicle Positioning. VTC Spring 2009 - [c50]Sven Peschke, Maik Bevermeier, Reinhold Haeb-Umbach:
A GPS positioning approach exploiting GSM velocity estimates. WPNC 2009: 195-202 - [c49]Maik Bevermeier, Sven Peschke, Reinhold Haeb-Umbach:
Robust vehicle localization based on multi-level sensor fusion and online parameter estimation. WPNC 2009: 235-242 - 2008
- [j15]Valentin Ion, Reinhold Haeb-Umbach:
A Novel Uncertainty Decoding Rule With Applications to Transmission Error Robust Speech Recognition. IEEE Trans. Speech Audio Process. 16(5): 1047-1060 (2008) - [c48]Ernst Warsitz, Alexander Krueger, Reinhold Haeb-Umbach:
Speech enhancement with a new generalized eigenvector blocking matrix for application in a generalized sidelobe canceller. ICASSP 2008: 73-76 - [c47]Stefan Windmann, Reinhold Haeb-Umbach:
Modeling the dynamics of speech and noise for speech feature enhancement in ASR. ICASSP 2008: 4409-4412 - 2007
- [j14]Ernst Warsitz, Reinhold Haeb-Umbach:
Blind Acoustic Beamforming Based on Generalized Eigenvalue Decomposition. IEEE Trans. Speech Audio Process. 15(5): 1529-1539 (2007) - [j13]Reinhold Haeb-Umbach, Sven Peschke:
A Novel Similarity Measure for Positioning Cellular Phones by a Comparison With a Database of Signal Power Levels. IEEE Trans. Veh. Technol. 56(1): 368-372 (2007) - [c46]Joerg Schmalenstroeer, Volker Leutnant, Reinhold Haeb-Umbach:
Amigo Context Management Service with Applications in Ambient Communication Scenarios. AmI Workshops 2007: 397-402 - [c45]Reinhold Haeb-Umbach, Maik Bevermeier:
OFDM Channel Estimation Based on Combined Estimation in Time and Frequency Domain. ICASSP (3) 2007: 277-280 - [c44]Joerg Schmalenstroeer, Reinhold Haeb-Umbach:
Joint speaker segmentation, localization and identification for streaming audio. INTERSPEECH 2007: 570-573 - [c43]Valentin Ion, Reinhold Haeb-Umbach:
Multi-resolution soft features for channel-robust distributed speech recognition. INTERSPEECH 2007: 594-597 - [c42]Ernst Warsitz, Reinhold Haeb-Umbach, Dang Hai Tran Vu:
Blind adaptive principal eigenvector beamforming for acoustical source separation. INTERSPEECH 2007: 842-845 - [c41]Stefan Windmann, Reinhold Haeb-Umbach:
An approach to iterative speech feature enhancement and recognition. INTERSPEECH 2007: 1086-1089 - [c40]Maik Bevermeier, Reinhold Haeb-Umbach:
Combined time and frequency domain OFDM channel estimation. MCSS 2007: 317-326 - [c39]Maik Bevermeier, Tobias Ebel, Reinhold Haeb-Umbach:
Channel estimation by exploiting sublayer information in OFDM systems. MCSS 2007: 387-396 - [c38]Sven Peschke, Reinhold Haeb-Umbach:
Velocity Estimation of Mobile Terminals by Exploiting GSM Downlink Signalling. WPNC 2007: 217-222 - 2006
- [j12]Valentin Ion, Reinhold Haeb-Umbach:
Uncertainty decoding for distributed speech recognition over error-prone networks. Speech Commun. 48(11): 1435-1446 (2006) - [c37]Valentin Ion, Reinhold Haeb-Umbach:
An Inexpensive Packet Loss Compensation Scheme for Distributed Speech Recognition Based on Soft-Features. ICASSP (1) 2006: 169-172 - [c36]Stefan Windmann, Reinhold Haeb-Umbach:
Iterative Speech Enhancement using a Non-Linear Dynamic State Model of Speech and its Parameters. ICASSP (1) 2006: 465-468 - [c35]Valentin Ion, Reinhold Haeb-Umbach:
Improved source modeling and predictive classification for channel robust speech recognition. INTERSPEECH 2006 - [c34]Joerg Schmalenstroeer, Reinhold Haeb-Umbach:
Online speaker change detection by combining BIC with microphone array beamforming. INTERSPEECH 2006 - 2005
- [c33]Valentin Ion, Reinhold Haeb-Umbach:
A Comparison of Soft-Feature Distributed Speech Recognition with Candidate Codecs for Speech Enabled Mobile Services. ICASSP (1) 2005: 333-336 - [c32]Ernst Warsitz, Reinhold Haeb-Umbach:
Acoustic filter-and-sum beamforming by adaptive principal component analysis. ICASSP (4) 2005: 797-800 - [c31]Reinhold Haeb-Umbach, Basilis Kladis, Joerg Schmalenstroeer:
Speech processing in the networked home environment - a view on the amigo project. INTERSPEECH 2005: 121-124 - [c30]Reinhold Haeb-Umbach, Joerg Schmalenstroeer:
A comparison of particle filtering variants for speech feature enhancement. INTERSPEECH 2005: 913-916 - [c29]Valentin Ion, Reinhold Haeb-Umbach:
Unified probabilistic approach to error concealment for distributed speech recognition. INTERSPEECH 2005: 2853-2856 - 2004
- [c28]Reinhold Haeb-Umbach, Valentin Ion:
Soft features for improved distributed speech recognition over wireless networks. INTERSPEECH 2004: 2125-2128 - [c27]Reinhold Haeb-Umbach, Sven Peschke, Ernst Warsitz:
Adaptive beamforming combined with particle filtering for acoustic source localization. INTERSPEECH 2004: 2849-2852 - [c26]Ernst Warsitz, Reinhold Haeb-Umbach:
Robust speaker direction estimation with particle filtering. MMSP 2004: 367-370 - 2002
- [j11]Peter Beyerlein, Xavier L. Aubert, Reinhold Haeb-Umbach, Matthew Harris, Dietrich Klakow, Andreas Wendemuth, Sirko Molau, Hermann Ney, Michael Pitz, Achim Sixtus:
Large vocabulary continuous speech recognition of Broadcast News - The Philips/RWTH approach. Speech Commun. 37(1-2): 109-131 (2002) - [c25]Renke Bischoff, Reinhold Häb-Umbach, Wolfgang Schulz, Günter Heinrichs:
Employment of a multipath receiver structure in a combined GALILEO/UMTS receiver. VTC Spring 2002: 1844-1848 - 2001
- [j10]Marco Loog, Robert P. W. Duin, Reinhold Haeb-Umbach:
Multiclass Linear Dimension Reduction by Weighted Pairwise Fisher Criteria. IEEE Trans. Pattern Anal. Mach. Intell. 23(7): 762-766 (2001) - [j9]Reinhold Haeb-Umbach:
Automatic generation of phonetic regression class trees for MLLR adaptation. IEEE Trans. Speech Audio Process. 9(3): 299-302 (2001) - 2000
- [c24]Markus Lieb, Reinhold Haeb-Umbach:
LDA derived cepstral trajectory filters in adverse environmental conditions. ICASSP 2000: 1105-1108 - [c23]Robert P. W. Duin, Marco Loog, Reinhold Haeb-Umbach:
Multi-Class Linear Feature Extraction by Nonlinear PCA. ICPR 2000: 2398-2401 - [c22]Reinhold Haeb-Umbach:
Data-driven phonetic regression class tree estimation for MLLR adaptation. INTERSPEECH 2000: 857-860 - [c21]Marco Loog, Reinhold Haeb-Umbach:
Multi-class linear dimension reduction by generalized Fisher criteria. INTERSPEECH 2000: 1069-1072
1990 – 1999
- 1999
- [c20]Reinhold Haeb-Umbach:
Investigations on inter-speaker variability in the feature space. ICASSP 1999: 397-400 - [c19]Peter Beyerlein, Xavier L. Aubert, Reinhold Haeb-Umbach, Matthew Harris, Dietrich Klakow, Andreas Wendemuth, Sirko Molau, Michael Pitz, Achim Sixtus:
The philips/RWTH system for transcription of broadcast news. EUROSPEECH 1999 - [c18]Reinhold Haeb-Umbach, Marco Loog:
An investigation of cepstral parameterisations for large vocabulary speech recognition. EUROSPEECH 1999 - [c17]Matthew Harris, Xavier L. Aubert, Reinhold Haeb-Umbach, Peter Beyerlein:
A study of broadcast news audio stream segmentation and segment clustering. EUROSPEECH 1999: 1027-1030 - 1998
- [c16]Lutz Welling, Reinhold Haeb-Umbach, X. Zubert, N. Haberland:
A study on speaker normalization using vocal tract normalization and speaker adaptive training. ICASSP 1998: 797-800 - 1997
- [j8]Stephan Gamm, Reinhold Haeb-Umbach, Detlev Langmann:
The development of a command-based speech interface for a telephone answering machine. Speech Commun. 23(1-2): 161-171 (1997) - [c15]Harald Höge, Herbert S. Tropf, Richard Winski, Henk van den Heuvel, Reinhold Haeb-Umbach, Khalid Choukri:
European speech databases for telephone applications. ICASSP 1997: 1771-1774 - [c14]Hans J. G. A. Dolfing, Reinhold Haeb-Umbach:
Signal representations for hidden Markov model based online handwriting recognition. ICASSP 1997: 3385-3388 - [c13]Reinhold Haeb-Umbach:
Robust speech recognition for wireless networks and mobile telephony. EUROSPEECH 1997: 2427-2430 - [c12]Detlev Langmann, Alexander Fischer, Friedhelm Wuppermann, Reinhold Haeb-Umbach, Thomas Eisele:
Acoustic front ends for speaker-independent digit recognition in car environments. EUROSPEECH 1997: 2571-2574 - 1996
- [c11]Thomas Eisele, Reinhold Haeb-Umbach, Detlev Langmann:
A comparative study of linear feature transformation techniques for automatic speech recognition. ICSLP 1996: 252-255 - [c10]Detlev Langmann, Reinhold Haeb-Umbach, Lou Boves, Els den Os:
FRESCO: the French telephone speech data collection - part of the european Speechdat(m) project. ICSLP 1996: 1918-1921 - 1995
- [j7]Volker Steinbiss, Hermann Ney, Ute Essen, Bach-Hiep Tran, Xavier L. Aubert, Christian Dugast, Reinhard Kneser, Hans-Günter Meier, Martin Oerder, Reinhold Haeb-Umbach, Dieter Geller, W. Höllerbauer, H. Bartosik:
Continuous speech dictation - From theory to practice. Speech Commun. 17(1-2): 19-38 (1995) - [c9]Christian Dugast, Peter Beyerlein, Reinhold Haeb-Umbach:
Application of clustering techniques to mixture density modelling for continuous-speech recognition. ICASSP 1995: 524-527 - [c8]Reinhold Haeb-Umbach, Peter Beyerlein, Eric Thelen:
Automatic transcription of unknown words in a speech recognition system. ICASSP 1995: 840-843 - [c7]Reinhold Haeb-Umbach, Stephan Gamm:
Human factors of a voice-controlled car stereo. EUROSPEECH 1995: 1453-1456 - 1994
- [j6]Hermann Ney, Volker Steinbiss, Reinhold Haeb-Umbach, Bach-Hiep Tran, Ute Essen:
An Overview of the Philips Research System for Large Vocabulary Continuous Speech Recognition. Int. J. Pattern Recognit. Artif. Intell. 8(1): 33-70 (1994) - [j5]Reinhold Haeb-Umbach, Hermann Ney:
Improvements in beam search for 10000-word continuous-speech recognition. IEEE Trans. Speech Audio Process. 2(2): 353-356 (1994) - 1993
- [j4]Stefan Dobler, Dieter Geller, Reinhold Haeb-Umbach, Peter Meyer, Hermann Ney, Hans-Wilhelm Rühl:
Design and use of speech recognition algorithms for a mobile radio telephone. Speech Commun. 12(3): 221-229 (1993) - [c6]Reinhold Haeb-Umbach, Dieter Geller, Hermann Ney:
Improvements in connected digit recognition using linear discriminant analysis and mixture densities. ICASSP (2) 1993: 239-242 - [c5]Xavier L. Aubert, Reinhold Haeb-Umbach, Hermann Ney:
Continuous mixture densities and linear discriminant analysis for improved context-dependent acoustic models. ICASSP (2) 1993: 648-651 - [c4]Volker Steinbiss, Hermann Ney, Reinhold Haeb-Umbach, B.-H. Iran, Ute Essen, Reinhard Kneser, Martin Oerder, Hans-Günter Meier, Xavier L. Aubert, Christian Dugast, Dieter Geller, W. Höllerbauer, H. Bartosik:
The Philips research system for large-vocabulary continuous-speech recognition. EUROSPEECH 1993: 2125-2128 - 1992
- [j3]Reinhold Haeb, Robert T. Lynch Jr.:
Trellis Codes for Partial-Response Magnetooptical Direct Overwrite Recording. IEEE J. Sel. Areas Commun. 10(1): 182-190 (1992) - [j2]Reinhold Haeb:
A modified trellis coding technique for partial response channels. IEEE Trans. Commun. 40(3): 513-520 (1992) - [c3]Hermann Ney, Reinhold Häb-Umbach, Bach-Hiep Tran, Martin Oerder:
Improvements in beam search for 10000-word continuous speech recognition. ICASSP 1992: 9-12 - [c2]Reinhold Häb-Umbach, Hermann Ney:
Linear discriminant analysis for improved large vocabulary continuous speech recognition. ICASSP 1992: 13-16 - 1991
- [c1]Reinhold Haeb-Umbach, Hermann Ney:
A look-ahead search technique for large vocabulary continuous speech recognition. EUROSPEECH 1991: 495-498
1980 – 1989
- 1989
- [j1]Reinhold Haeb, Heinrich Meyr:
A systematic approach to carrier recovery and detection of digitally phase modulated signals of fading channels. IEEE Trans. Commun. 37(7): 748-754 (1989)
Coauthor Index
[j41] [c181] [c180] [j40] [c176] [c175] [c174] [c173] [i46] [i45] [i44] [i42] [i40] [i39] [c168] [c167] [c166] [c164] [c163] [i36] [i35] [i34] [i33] [c161] [c159] [c153] [c152] [c151] [i32] [i27] [i26] [i25] [i23] [i22] [j35] [c148] [c147] [c146] [c143] [i21] [i18] [i15] [c142] [c135] [i9] [i8] [i7] [i6] [i5] [i4] [c129] [c122] [c120] [c118] [c116] [c111] [i3] [c104]
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