Publications - Communications Engineering

Geodesic Interpolation of Frame-Wise Speaker Embeddings for the Diarization of Meeting Scenarios

T. Cord-Landwehr, C. Boeddeker, C. Zorilă, R. Doddipatla, R. Haeb-Umbach, in: ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE, 2024.

DOI

Once more Diarization: Improving meeting transcription systems through segment-level speaker reassignment

C. Boeddeker, T. Cord-Landwehr, R. Haeb-Umbach, in: Interspeech 2024, ISCA, 2024.

DOI

The CHiME-8 DASR Challenge for Generalizable and Array Agnostic Distant Automatic Speech Recognition and Diarization

S. Cornell, T. Park, S. Huang, C. Boeddeker, X. Chang, M. Maciejewski, M. Wiesner, P. Garcia, S. Watanabe, ArXiv:2407.16447 (2024).

arXiv

Diminishing Domain Mismatch for DNN-Based Acoustic Distance Estimation via Stochastic Room Reverberation Models

T. Gburrek, A. Meise, J. Schmalenstroeer, R. Haeb-Umbach, in: 2024 18th International Workshop on Acoustic Signal Enhancement (IWAENC), IEEE, 2024.

DOI PDF

UPB-NT submission to DCASE24: Dataset pruning for targeted knowledge distillation

A. Werning, R. Haeb-Umbach, UPB-NT Submission to DCASE24: Dataset Pruning for Targeted Knowledge Distillation, 2024.

Target-Specific Dataset Pruning for Compression of Audio Tagging Models

A. Werning, R. Haeb-Umbach, in: 32nd European Signal Processing Conference (EUSIPCO 2024), 2024.

Meeting Recognition with Continuous Speech Separation and Transcription-Supported Diarization

T. von Neumann, C. Boeddeker, T. Cord-Landwehr, M. Delcroix, R. Haeb-Umbach, in: 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW), IEEE, 2024.

DOI PDF

TS-SEP: Joint Diarization and Separation Conditioned on Estimated Speaker Embeddings

C. Boeddeker, A.S. Subramanian, G. Wichern, R. Haeb-Umbach, J. Le Roux, IEEE/ACM Transactions on Audio, Speech, and Language Processing 32 (2024) 1185–1197.

DOI

Simultaneous Diarization and Separation of Meetings through the Integration of Statistical Mixture Models

T. Cord-Landwehr, C. Boeddeker, R. Haeb-Umbach, (2024).

Speaker and Style Disentanglement of Speech Based on Contrastive Predictive Coding Supported Factorized Variational Autoencoder

Y. Xie, M. Kuhlmann, F. Rautenberg, Z.-H. Tan, R. Häb-Umbach, in: 2024 32nd European Signal Processing Conference (EUSIPCO), 2024, pp. 436–440.

On the Integration of Sampling Rate Synchronization and Acoustic Beamforming

T. Gburrek, J. Schmalenstroeer, R. Haeb-Umbach, in: European Signal Processing Conference (EUSIPCO), 2023.

Frame-Wise and Overlap-Robust Speaker Embeddings for Meeting Diarization

T. Cord-Landwehr, C. Boeddeker, C. Zorilă, R. Doddipatla, R. Haeb-Umbach, in: ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE, 2023.

DOI PDF

LibriWASN: A Data Set for Meeting Separation, Diarization, and Recognition with Asynchronous Recording Devices

J. Schmalenstroeer, T. Gburrek, R. Haeb-Umbach, in: ITG Conference on Speech Communication, 2023.

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A Teacher-Student Approach for Extracting Informative Speaker Embeddings From Speech Mixtures

T. Cord-Landwehr, C. Boeddeker, C. Zorilă, R. Doddipatla, R. Haeb-Umbach, in: INTERSPEECH 2023, ISCA, 2023.

DOI PDF

On Feature Importance and Interpretability of Speaker Representations

F. Rautenberg, M. Kuhlmann, J. Wiechmann, F. Seebauer, P. Wagner, R. Haeb-Umbach, in: ITG Conference on Speech Communication, 2023.

arXiv

Explaining voice characteristics to novice voice practitioners-How successful is it?

J. Wiechmann, F. Rautenberg, P. Wagner, R. Haeb-Umbach, in: 20th International Congress of the Phonetic Sciences (ICPhS) , 2023.

Reverberation as Supervision For Speech Separation

R. Aralikatti, C. Boeddeker, G. Wichern, A. Subramanian, J. Le Roux, in: ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE, 2023.

DOI

Mixture Encoder for Joint Speech Separation and Recognition

S. Berger, P. Vieting, C. Boeddeker, R. Schlüter, R. Haeb-Umbach, in: INTERSPEECH 2023, ISCA, 2023.

DOI

Re-examining the quality dimensions of synthetic speech

F. Seebauer, M. Kuhlmann, R. Haeb-Umbach, P. Wagner, in: 12th Speech Synthesis Workshop (SSW) 2023, 2023.

Segment-Less Continuous Speech Separation of Meetings: Training and Evaluation Criteria

T. von Neumann, K. Kinoshita, C. Boeddeker, M. Delcroix, R. Haeb-Umbach, IEEE/ACM Transactions on Audio, Speech, and Language Processing 31 (2023) 576–589.

DOI PDF

MeetEval: A Toolkit for Computation of Word Error Rates for Meeting Transcription Systems

T. von Neumann, C. Boeddeker, M. Delcroix, R. Haeb-Umbach, in: Proc. CHiME 2023 Workshop on Speech Processing in Everyday Environments, 2023.

PDF https://github.com/fgnt/meeteval

Spatial Diarization for Meeting Transcription with Ad-Hoc Acoustic Sensor Networks

T. Gburrek, J. Schmalenstroeer, R. Haeb-Umbach, in: Proc. Asilomar Conference on Signals, Systems, and Computers, 2023.

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Speech Disentanglement for Analysis and Modification of Acoustic and Perceptual Speaker Characteristics

F. Rautenberg, M. Kuhlmann, J. Ebbers, J. Wiechmann, F. Seebauer, P. Wagner, R. Haeb-Umbach, in: Fortschritte Der Akustik - DAGA 2023, 2023, pp. 1409–1412.

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Multi-stage diarization refinement for the CHiME-7 DASR scenario

C. Boeddeker, T. Cord-Landwehr, T. von Neumann, R. Haeb-Umbach, in: 7th International Workshop on Speech Processing in Everyday Environments (CHiME 2023), ISCA, 2023.

DOI

Post-Processing Independent Evaluation of Sound Event Detection Systems

J. Ebbers, R. Haeb-Umbach, R. Serizel, in: Proceedings of the 8th Detection and Classification of Acoustic Scenes and Events 2023 Workshop (DCASE2023), Tampere, Finland, 2023, pp. 36–40.

On Word Error Rate Definitions and Their Efficient Computation for Multi-Speaker Speech Recognition Systems

T. von Neumann, C. Boeddeker, K. Kinoshita, M. Delcroix, R. Haeb-Umbach, in: ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE, 2023.

DOI PDF https://github.com/fgnt/meeteval

DISCERNING DIMENSIONS OF QUALITY FOR STATE OF THE ART SYNTHETIC SPEECH

F. Seebauer, M. Kuhlmann, R. Häb-Umbach, P. Wagner, in: Proceedings of the 20th International Congress of Phonetic Sciences, 2023.

Investigating Speaker Embedding Disentanglement on Natural Read Speech

M. Kuhlmann, A. Meise, F. Seebauer, P. Wagner, R. Häb-Umbach, in: Speech Communication; 15th ITG Conference, 2023, pp. 121–125.

End-to-End Dereverberation, Beamforming, and Speech Recognition in A Cocktail Party

W. Zhang, X. Chang, C. Boeddeker, T. Nakatani, S. Watanabe, Y. Qian, IEEE/ACM Transactions on Audio, Speech, and Language Processing (2022).

DOI PDF https://ieeexplore.ieee.org/abstract/document/9904314

An Initialization Scheme for Meeting Separation with Spatial Mixture Models

C. Boeddeker, T. Cord-Landwehr, T. von Neumann, R. Haeb-Umbach, in: Interspeech 2022, ISCA, 2022.

DOI

Neural Network Based Carrier Frequency Offset Estimation From Speech Transmitted Over High Frequency Channels

J. Heitkämper, J. Schmalenstroeer, R. Haeb-Umbach, in: Proceedings of the 30th European Signal Processing Conference (EUSIPCO), Belgrad, n.d.

Data-driven Time Synchronization in Wireless Multimedia Networks

H. Afifi, H. Karl, T. Gburrek, J. Schmalenstroeer, in: 2022 International Wireless Communications and Mobile Computing (IWCMC), IEEE, 2022.

DOI

Utterance-by-utterance overlap-aware neural diarization with Graph-PIT

K. Kinoshita, T. von Neumann, M. Delcroix, C. Boeddeker, R. Haeb-Umbach, in: Proc. Interspeech 2022, ISCA, 2022, pp. 1486–1490.

DOI

SA-SDR: A Novel Loss Function for Separation of Meeting Style Data

T. von Neumann, K. Kinoshita, C. Boeddeker, M. Delcroix, R. Haeb-Umbach, in: ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE, 2022.

DOI PDF PDF https://github.com/fgnt/graph_pit

MMS-MSG: A Multi-purpose Multi-Speaker Mixture Signal Generator

T. Cord-Landwehr, T. von Neumann, C. Boeddeker, R. Haeb-Umbach, in: 2022 International Workshop on Acoustic Signal Enhancement (IWAENC), 2022.

PDF arXiv

Monaural source separation: From anechoic to reverberant environments

T. Cord-Landwehr, C. Boeddeker, T. von Neumann, C. Zorila, R. Doddipatla, R. Haeb-Umbach, in: 2022 International Workshop on Acoustic Signal Enhancement (IWAENC), IEEE, Bamberg, 2022.

PDF arXiv

On Synchronization of Wireless Acoustic Sensor Networks in the Presence of Time-Varying Sampling Rate Offsets and Speaker Changes

T. Gburrek, J. Schmalenstroeer, R. Haeb-Umbach, in: ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE, 2022.

DOI PDF

Warping of Radar Data Into Camera Image for Cross-Modal Supervision in Automotive Applications

C. Grimm, T. Fei, E. Warsitz, R. Farhoud, T. Breddermann, R. Haeb-Umbach, IEEE Transactions on Vehicular Technology 71 (2022) 9435–9449.

DOI PDF

Technically enabled explaining of voice characteristics

J. Wiechmann, T. Glarner, F. Rautenberg, P. Wagner, R. Haeb-Umbach, in: 18. Phonetik Und Phonologie Im Deutschsprachigen Raum (P&P), 2022.

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Investigation into Target Speaking Rate Adaptation for Voice Conversion

M. Kuhlmann, F. Seebauer, J. Ebbers, P. Wagner, R. Haeb-Umbach, in: Interspeech 2022, ISCA, 2022.

DOI

Informed vs. Blind Beamforming in Ad-Hoc Acoustic Sensor Networks for Meeting Transcription

T. Gburrek, J. Schmalenstroeer, J. Heitkaemper, R. Haeb-Umbach, in: 2022 International Workshop on Acoustic Signal Enhancement (IWAENC), IEEE, 2022.

DOI PDF

A Meeting Transcription System for an Ad-Hoc Acoustic Sensor Network

T. Gburrek, C. Boeddeker, T. von Neumann, T. Cord-Landwehr, J. Schmalenstroeer, R. Haeb-Umbach, A Meeting Transcription System for an Ad-Hoc Acoustic Sensor Network, arXiv, 2022.

DOI PDF

Threshold Independent Evaluation of Sound Event Detection Scores

J. Ebbers, R. Haeb-Umbach, R. Serizel, in: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022.

PDF

Pre-Training And Self-Training For Sound Event Detection In Domestic Environments

J. Ebbers, R. Haeb-Umbach, Pre-Training And Self-Training For Sound Event Detection In Domestic Environments, 2022.

Far-Field Automatic Speech Recognition

R. Haeb-Umbach, J. Heymann, L. Drude, S. Watanabe, M. Delcroix, T. Nakatani, Proceedings of the IEEE 109 (2021) 124–148.

DOI PDF

End-to-End Dereverberation, Beamforming, and Speech Recognition with Improved Numerical Stability and Advanced Frontend

W. Zhang, C. Boeddeker, S. Watanabe, T. Nakatani, M. Delcroix, K. Kinoshita, T. Ochiai, N. Kamo, R. Haeb-Umbach, Y. Qian, in: ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021.

DOI

ESPnet-SE: End-To-End Speech Enhancement and Separation Toolkit Designed for ASR Integration

C. Li, J. Shi, W. Zhang, A.S. Subramanian, X. Chang, N. Kamo, M. Hira, T. Hayashi, C. Boeddeker, Z. Chen, S. Watanabe, in: 2021 IEEE Spoken Language Technology Workshop (SLT), 2021.

DOI

Dual-Path RNN for Long Recording Speech Separation

C. Li, Y. Luo, C. Han, J. Li, T. Yoshioka, T. Zhou, M. Delcroix, K. Kinoshita, C. Boeddeker, Y. Qian, S. Watanabe, Z. Chen, in: 2021 IEEE Spoken Language Technology Workshop (SLT), 2021.

DOI

A Database for Research on Detection and Enhancement of Speech Transmitted over HF links

J. Heitkaemper, J. Schmalenstroeer, V. Ion, R. Haeb-Umbach, in: Speech Communication; 14th ITG-Symposium, 2021, pp. 1–5.

A Comparison and Combination of Unsupervised Blind Source Separation Techniques

C. Boeddeker, F. Rautenberg, R. Haeb-Umbach, in: ITG Conference on Speech Communication, 2021.

PDF arXiv

Convolutive Transfer Function Invariant SDR Training Criteria for Multi-Channel Reverberant Speech Separation

C. Boeddeker, W. Zhang, T. Nakatani, K. Kinoshita, T. Ochiai, M. Delcroix, N. Kamo, Y. Qian, R. Haeb-Umbach, in: ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021.

DOI PDF

Open Range Pitch Tracking for Carrier Frequency Difference Estimation from HF Transmitted Speech

J. Schmalenstroeer, J. Heitkaemper, J. Ullmann, R. Haeb-Umbach, in: 29th European Signal Processing Conference (EUSIPCO), 2021, pp. 1–5.

Geometry calibration in wireless acoustic sensor networks utilizing DoA and distance information

T. Gburrek, J. Schmalenstroeer, R. Haeb-Umbach, EURASIP Journal on Audio, Speech, and Music Processing (2021).

DOI

Iterative Geometry Calibration from Distance Estimates for Wireless Acoustic Sensor Networks

T. Gburrek, J. Schmalenstroeer, R. Haeb-Umbach, in: ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021.

DOI PDF

On Source-Microphone Distance Estimation Using Convolutional Recurrent Neural Networks

T. Gburrek, J. Schmalenstroeer, R. Haeb-Umbach, in: Speech Communication; 14th ITG-Symposium, 2021, pp. 1–5.

PDF

Online Estimation of Sampling Rate Offsets in Wireless Acoustic Sensor Networks with Packet Loss

A. Chinaev, G. Enzner, T. Gburrek, J. Schmalenstroeer, in: 29th European Signal Processing Conference (EUSIPCO), 2021, pp. 1–5.

Contrastive Predictive Coding Supported Factorized Variational Autoencoder for Unsupervised Learning of Disentangled Speech Representations

J. Ebbers, M. Kuhlmann, T. Cord-Landwehr, R. Haeb-Umbach, in: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021, pp. 3860–3864.

PDF

Graph-PIT: Generalized Permutation Invariant Training for Continuous Separation of Arbitrary Numbers of Speakers

T. von Neumann, K. Kinoshita, C. Boeddeker, M. Delcroix, R. Haeb-Umbach, in: Interspeech 2021, 2021.

DOI PDF PDF PDF https://github.com/fgnt/graph_pit

Speeding Up Permutation Invariant Training for Source Separation

T. von Neumann, C. Boeddeker, K. Kinoshita, M. Delcroix, R. Haeb-Umbach, in: Speech Communication; 14th ITG Conference, 2021.

PDF PDF

Self-Trained Audio Tagging and Sound Event Detection in Domestic Environments

J. Ebbers, R. Haeb-Umbach, in: Proceedings of the 6th Detection and Classification of Acoustic Scenes and Events 2021 Workshop (DCASE2021), Barcelona, Spain, 2021, pp. 226–230.

PDF

Adapting Sound Recognition to A New Environment Via Self-Training

J. Ebbers, M.C. Keyser, R. Haeb-Umbach, in: Proceedings of the 29th European Signal Processing Conference (EUSIPCO), 2021, pp. 1135–1139.

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Explanation as a Social Practice: Toward a Conceptual Framework for the Social Design of AI Systems

K.J. Rohlfing, P. Cimiano, I. Scharlau, T. Matzner, H.M. Buhl, H. Buschmeier, E. Esposito, A. Grimminger, B. Hammer, R. Haeb-Umbach, I. Horwath, E. Hüllermeier, F. Kern, S. Kopp, K. Thommes, A.-C. Ngonga Ngomo, C. Schulte, H. Wachsmuth, P. Wagner, B. Wrede, IEEE Transactions on Cognitive and Developmental Systems 13 (2021) 717–728.

DOI PDF

Sprachtechnologien für Digitale Assistenten

R. Haeb-Umbach, in: R. Böck, I. Siegert, A. Wendemuth (Eds.), Studientexte Zur Sprachkommunikation: Elektronische Sprachsignalverarbeitung 2020, TUDpress, Dresden, 2020, pp. 227–234.

Towards a speaker diarization system for the CHiME 2020 dinner party transcription

C. Boeddeker, T. Cord-Landwehr, J. Heitkaemper, C. Zorila, D. Hayakawa, M. Li, M. Liu, R. Doddipatla, R. Haeb-Umbach, in: Proc. CHiME 2020 Workshop on Speech Processing in Everyday Environments, 2020.

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Jointly optimal denoising, dereverberation, and source separation

T. Nakatani, C. Boeddeker, K. Kinoshita, R. Ikeshita, M. Delcroix, R. Haeb-Umbach, IEEE/ACM Transactions on Audio, Speech, and Language Processing (2020) 1–1.

DOI

Demystifying TasNet: A Dissecting Approach

J. Heitkaemper, D. Jakobeit, C. Boeddeker, L. Drude, R. Haeb-Umbach, in: ICASSP 2020 Virtual Barcelona Spain, 2020.

CHiME-6 Challenge:Tackling Multispeaker Speech Recognition for Unsegmented Recordings

S. Watanabe, M. Mandel, J. Barker, E. Vincent, A. Arora, X. Chang, S. Khudanpur, V. Manohar, D. Povey, D. Raj, D. Snyder, A.S. Subramanian, J. Trmal, B.B. Yair, C. Boeddeker, Z. Ni, Y. Fujita, S. Horiguchi, N. Kanda, T. Yoshioka, N. Ryant, ArXiv:2004.09249 (2020).

Statistical and Neural Network Based Speech Activity Detection in Non-Stationary Acoustic Environments

J. Heitkaemper, J. Schmalenstroeer, R. Haeb-Umbach, in: INTERSPEECH 2020 Virtual Shanghai China, 2020.

End-to-End Training of Time Domain Audio Separation and Recognition

T. von Neumann, K. Kinoshita, L. Drude, C. Boeddeker, M. Delcroix, T. Nakatani, R. Haeb-Umbach, in: ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020, pp. 7004–7008.

DOI PDF

Multi-Talker ASR for an Unknown Number of Sources: Joint Training of Source Counting, Separation and ASR

T. von Neumann, C. Boeddeker, L. Drude, K. Kinoshita, M. Delcroix, T. Nakatani, R. Haeb-Umbach, in: Proc. Interspeech 2020, 2020, pp. 3097–3101.

DOI PDF

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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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.

DOI PDF

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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Jointly Optimal Dereverberation and Beamforming

C. Boeddeker, T. Nakatani, K. Kinoshita, R. Haeb-Umbach, in: ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020.

DOI PDF

Lektionen für Alexa \& Co?!

R. Haeb-Umbach, Forschung 44 (2019) 12–15.

DOI

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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Unsupervised training of neural mask-based beamforming

L. Drude, J. Heymann, R. Haeb-Umbach, in: INTERSPEECH 2019, Graz, Austria, 2019.

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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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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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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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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).

DOI PDF

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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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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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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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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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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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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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.

DOI PDF

Lektionen für Alexa & Co?!

R. Haeb-Umbach, DFG Forschung 1/2019 (2019) 12–15.

DOI PDF

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.

DOI Listening examples

Convolutional Recurrent Neural Network and Data Augmentation for Audio Tagging with Noisy Labels and Minimal Supervision

J. Ebbers, R. Haeb-Umbach, in: DCASE2019 Workshop, New York, USA, 2019.

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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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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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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.

DOI

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.

Frame-Online DNN-WPE Dereverberation

J. Heymann, L. Drude, R. Haeb-Umbach, K. Kinoshita, T. Nakatani, in: IWAENC 2018, Tokio, Japan, 2018.

Poster

Smoothing along Frequency in Online Neural Network Supported Acoustic Beamforming

J. Heitkaemper, J. Heymann, R. Haeb-Umbach, in: ITG 2018, Oldenburg, Germany, 2018.

Slides

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.

Slides

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.

Poster

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).

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.

Slides

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.

Poster

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.

Poster

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.

DOI PDF

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.

Poster

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.

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.

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.

Slides

Efficient Sampling Rate Offset Compensation - An Overlap-Save Based Approach

J. Schmalenstroeer, R. Haeb-Umbach, in: 26th European Signal Processing Conference (EUSIPCO 2018), 2018.

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.

Benchmarking Neural Network Architectures for Acoustic Sensor Networks

J. Ebbers, J. Heitkaemper, J. Schmalenstroeer, R. Haeb-Umbach, in: ITG 2018, Oldenburg, Germany, 2018.

Poster

Insights into the Interplay of Sampling Rate Offsets and MVDR Beamforming

J. Schmalenstroeer, R. Haeb-Umbach, in: ITG 2018, Oldenburg, Germany, 2018.

Fast and Accurate Audio Resampling for Acoustic Sensor Networks by Polyphase-Farrow Filters with FFT Realization

J. Schmalenstroeer, A. Chinaev, G. Enzner, in: Speech Communication; 13th ITG-Symposium, 2018, pp. 1–5.

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.

Poster

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.

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.

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.

Slides

Tight integration of spatial and spectral features for BSS with Deep Clustering embeddings

L. Drude, R. Haeb-Umbach, in: INTERSPEECH 2017, Stockholm, Schweden, 2017.

Slides

Leveraging Text Data for Word Segmentation for Underresourced Languages

T. Glarner, B. Boenninghoff, O. Walter, R. Haeb-Umbach, in: INTERSPEECH 2017, Stockholm, Schweden, 2017.

Poster

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.

Poster

A Generic Neural Acoustic Beamforming Architecture for Robust Multi-Channel Speech Processing

J. Heymann, L. Drude, R. Haeb-Umbach, Computer Speech and Language (2017).

Building or Enclosure Termination Closing and/or Opening Apparatus, and Method for Operating a Building or Enclosure Termination

F. Jacob, J. Schmalenstroeer, (2017).

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.

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.

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.

Poster Slides

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.

Poster

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.

A Priori SNR Estimation Using a Generalized Decision Directed Approach

A. Chinaev, R. Haeb-Umbach, in: INTERSPEECH 2016, San Francisco, USA, 2016.

Poster

A Priori SNR Estimation Using Weibull Mixture Model

A. Chinaev, J. Heitkaemper, R. Haeb-Umbach, in: 12. ITG Fachtagung Sprachkommunikation (ITG 2016), 2016.

Presentation

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.

Presentation

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.

Slides

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.

Poster

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.

Slides

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.

Slides

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.

Poster

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.

Poster

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).

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.

DOI

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.

Unsupervised Word Discovery from Speech using Bayesian Hierarchical Models

O. Walter, R. Haeb-Umbach, in: 38th German Conference on Pattern Recognition (GCPR 2016), 2016.

Presentation

Investigations into Bluetooth Low Energy Localization Precision Limits

J. Schmalenstroeer, R. Haeb-Umbach, in: 24th European Signal Processing Conference (EUSIPCO 2016), 2016.

Poster

On Optimal Smoothing in Minimum Statistics Based Noise Tracking

A. Chinaev, R. Haeb-Umbach, in: Interspeech 2015, 2015, pp. 1785–1789.

Poster

Semantic Analysis of Spoken Input using Markov Logic Networks

V. Despotovic, O. Walter, R. Haeb-Umbach, in: INTERSPEECH 2015, 2015.

Poster

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.

Presentation

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.

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.

DOI

Absolute Geometry Calibration of Distributed Microphone Arrays in an Audio-Visual Sensor Network

F. Jacob, R. Haeb-Umbach, ArXiv E-Prints (2015).

Robust Automatic Speech Recognition

J. Li, L. Deng, R. Haeb-Umbach, Y. Gong, Robust Automatic Speech Recognition, Elsevier, 2015.

Sample-Chapter Store

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.

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.

Poster

Autonomous Learning of Representations

O. Walter, R. Haeb-Umbach, B. Mokbel, B. Paassen, B. Hammer, KI - Kuenstliche Intelligenz (2015) 1–13.

DOI

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.

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.

Spectral Noise Tracking for Improved Nonstationary Noise Robust ASR

A. Chinaev, M. Puels, R. Haeb-Umbach, in: 11. ITG Fachtagung Sprachkommunikation (ITG 2014), 2014.

Presentation

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.

Poster

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.

Poster

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.

Poster

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.

Presentation

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.

DOI

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.

DOI

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.

Poster Spotlight

A combined hardware-software approach for acoustic sensor network synchronization

J. Schmalenstroeer, P. Jebramcik, R. Haeb-Umbach, Signal Processing (2014).

DOI

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.

Poster

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.

Poster Demo

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.

DOI

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.

DOI Poster

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.

DOI Poster

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.

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.

Poster

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.

DOI Poster

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.

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.

DOI

Blind Speech Separation Exploiting Temporal and Spectral Correlations Using Turbo Decoding of 2D-HMMs

D.H. Tran Vu, R. Haeb-Umbach, in: 21th European Signal Processing Conference (EUSIPCO 2013), 2013.

Presentation

Using the turbo principle for exploiting temporal and spectral correlations in speech presence probability estimation

D.H.T. Vu, R. Haeb-Umbach, in: 38th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2013), 2013, pp. 863–867.

DOI

Unsupervised Word Discovery from Phonetic Input Using Nested Pitman-Yor Language Modeling

O. Walter, R. Haeb-Umbach, S. Chaudhuri, B. Raj, in: IEEE International Conference on Robotics and Automation (ICRA 2013), 2013.

Poster Spotlight

Hierarchical System for Word Discovery Exploiting DTW-Based Initialization

O. Walter, T. Korthals, R. Haeb-Umbach, B. Raj, in: Automatic Speech Recognition and Understanding Workshop (ASRU 2013), 2013.

Award Poster

A Novel Initialization Method for Unsupervised Learning of Acoustic Patterns in Speech (FGNT-2013-01)

O. Walter, J. Schmalenstroeer, R. Haeb-Umbach, A Novel Initialization Method for Unsupervised Learning of Acoustic Patterns in Speech (FGNT-2013-01), 2013.

DoA-Based Microphone Array Position Self-Calibration Using Circular Statistic

F. Jacob, J. Schmalenstroeer, R. Haeb-Umbach, in: 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013), 2013, pp. 116–120.

DOI Presentation

Sampling Rate Synchronisation in Acoustic Sensor Networks with a Pre-Trained Clock Skew Error Model

J. Schmalenstroeer, R. Haeb-Umbach, in: 21th European Signal Processing Conference (EUSIPCO 2013), 2013.

Presentation

Server based indoor navigation using RSSI and inertial sensor information

M.K. Hoang, S. Schmitz, C. Drueke, D.H.T. Vu, J. Schmalenstroeer, R. Haeb-Umbach, in: Positioning Navigation and Communication (WPNC), 2013 10th Workshop On, 2013, pp. 1–6.

DOI Poster

A Hidden Markov Model for Indoor User Tracking Based on WiFi Fingerprinting and Step Detection

M.K. Hoang, J. Schmalenstroeer, C. Drueke, D.H. Tran Vu, R. Haeb-Umbach, in: 21th European Signal Processing Conference (EUSIPCO 2013), 2013.

Poster

Quality Analysis and Optimization of the MAP-based Noise Power Spectral Density Tracker

A. Chinaev, R. Haeb-Umbach, in: Speech Communication; 10. ITG Symposium; Proceedings., 2012.

Poster

Improved Noise Power Spectral Density Tracking by a MAP-based Postprocessor

A. Chinaev, A. Krueger, D.H. Tran Vu, R. Haeb-Umbach, in: 37th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2012), 2012.

Presentation

Reverberant Speech Recognition

A. Krueger, R. Haeb-Umbach, in: Techniques for Noise Robustness in Automatic Speech Recognition, Wiley, 2012.

Bayesian Feature Enhancement for ASR of Noisy Reverberant Real-World Data

A. Krueger, O. Walter, V. Leutnant, R. Haeb-Umbach, in: Proc. Interspeech, Portland, USA, 2012.

Investigations Into a Statistical Observation Model for Logarithmic Mel Power Spectral Density Features of Noisy Reverberant Speech

V. Leutnant, A. Krueger, R. Haeb-Umbach, Speech Communication; 10. ITG Symposium; Proceedings Of (2012) 1–4.

A Statistical Observation Model For Noisy Reverberant Speech Features and its Application to Robust ASR

V. Leutnant, A. Krueger, R. Haeb-Umbach, in: Signal Processing, Communications and Computing (ICSPCC), 2012 IEEE International Conference On, 2012.

Derivation of the Power Compensation Constant in the Observation Model for Reverberant Speech in the Logarithmic Mel Power Spectral Domain

V. Leutnant, A. Krueger, R. Haeb-Umbach, Derivation of the Power Compensation Constant in the Observation Model for Reverberant Speech in the Logarithmic Mel Power Spectral Domain, 2012.

Exploiting Temporal Correlations in Joint Multichannel Speech Separation and Noise Suppression using Hidden Markov Models

D.H. Tran Vu, R. Haeb-Umbach, in: International Workshop on Acoustic Signal Enhancement (IWAENC2012), 2012.

Microphone Array Position Self-Calibration from Reverberant Speech Input

F. Jacob, J. Schmalenstroeer, R. Haeb-Umbach, in: International Workshop on Acoustic Signal Enhancement (IWAENC 2012), 2012.

Video Poster Demonstrator

Smartphone-Based Sensor Fusion for Improved Vehicular Navigation

O. Walter, J. Schmalenstroeer, A. Engler, R. Haeb-Umbach, in: 9th Workshop on Positioning Navigation and Communication (WPNC 2012), 2012.

A Platform for efficient Supply Chain Management Support in Logistics

M. Bevermeier, S. Flanke, R. Haeb-Umbach, J. Stehr, in: International Workshop on Intelligent Transportation (WIT 2011), 2011.

Uncertainty Decoding and Conditional Bayesian Estimation

R. Haeb-Umbach, in: R. Haeb-Umbach, D. Kolossa (Eds.), Robust Speech Recognition of Uncertain or Missing Data, Springer, 2011.

Können Computer sprechen und hören, sollen sie es überhaupt können? Sprachverarbeitung und ambiente Intelligenz

R. Haeb-Umbach, in: Baustelle Informationsgesellschaft Und Universität Heute, Ferdinand Schoeningh Verlag, Paderborn, 2011.

Adaptive Systems for Unsupervised Speaker Tracking and Speech Recognition

T. Herbig, F. Gerl, W. Minker, R. Haeb-Umbach, Evolving Systems 2 (2011) 199–214.

A Model-Based Approach to Joint Compensation of Noise and Reverberation for Speech Recognition

A. Krueger, R. Haeb-Umbach, in: R. Haeb-Umbach, D. Kolossa (Eds.), Robust Speech Recognition of Uncertain or Missing Data, Springer, 2011.

MAP-based estimation of the parameters of non-stationary Gaussian processes from noisy observations

A. Krueger, R. Haeb-Umbach, in: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2011), 2011, pp. 3596–3599.

DOI

Speech Enhancement With a GSC-Like Structure Employing Eigenvector-Based Transfer Function Ratios Estimation

A. Krueger, E. Warsitz, R. Haeb-Umbach, IEEE Transactions on Audio, Speech, and Language Processing 19 (2011) 206–219.

DOI

Conditional Bayesian Estimation Employing a Phase-Sensitive Observation Model for Noise Robust Speech Recognition

V. Leutnant, R. Haeb-Umbach, in: R. Haeb-Umbach, D. Kolossa (Eds.), Robust Speech Recognition of Uncertain or Missing Data, Springer, 2011.

A versatile Gaussian splitting approach to non-linear state estimation and its application to noise-robust ASR

V. Leutnant, A. Krueger, R. Haeb-Umbach, in: Interspeech 2011, 2011.

On Initial Seed Selection for Frequency Domain Blind Speech Separation

D.H. Tran Vu, R. Haeb-Umbach, in: Interspeech 2011, 2011.

Robust Speech Recognition of Uncertain or Missing Data --- Theory and Applications

D. Kolossa, R. Haeb-Umbach, eds., Robust Speech Recognition of Uncertain or Missing Data --- Theory and Applications, Springer, 2011.

Unsupervised learning of acoustic events using dynamic time warping and hierarchical K-means++ clustering

J. Schmalenstroeer, M. Bartek, R. Haeb-Umbach, in: Interspeech 2011, 2011.

Unsupervised Geometry Calibration of Acoustic Sensor Networks Using Source Correspondences

J. Schmalenstroeer, F. Jacob, R. Haeb-Umbach, M. Hennecke, G.A. Fink, in: Interspeech 2011, 2011.

Investigations into Features for Robust Classification into Broad Acoustic Categories

J. Schmalenstroeer, M. Bartek, R. Haeb-Umbach, in: 37. Deutsche Jahrestagung Fuer Akustik (DAGA 2011), 2011.

Barometric height estimation combined with map-matching in a loosely-coupled Kalman-filter

M. Bevermeier, O. Walter, S. Peschke, R. Haeb-Umbach, in: 7th Workshop on Positioning Navigation and Communication (WPNC 2010), 2010, pp. 128–134.

DOI

Model-Based Feature Enhancement for Reverberant Speech Recognition

A. Krueger, R. Haeb-Umbach, IEEE Transactions on Audio, Speech, and Language Processing 18 (2010) 1692–1707.

DOI

Options for Modelling Temporal Statistical Dependencies in an Acoustic Model for ASR

V. Leutnant, R. Haeb-Umbach, in: 36. Deutsche Jahrestagung Fuer Akustik (DAGA 2010), 2010.

On the Exploitation of Hidden Markov Models and Linear Dynamic Models in a Hybrid Decoder Architecture for Continuous Speech Recognition

V. Leutnant, R. Haeb-Umbach, in: Interspeech 2010, 2010.

Ungrounded Independent Non-Negative Factor Analysis

B. Raj, K.W. Wilson, A. Krueger, R. Haeb-Umbach, in: Interspeech 2010, 2010.

An EM Approach to Integrated Multichannel Speech Separation and Noise Suppression

D.H. Tran Vu, R. Haeb-Umbach, in: International Workshop on Acoustic Echo and Noise Control (IWAENC 2010), 2010.

Blind speech separation employing directional statistics in an Expectation Maximization framework

D.H. Tran Vu, R. Haeb-Umbach, in: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2010), 2010, pp. 241–244.

DOI

Online Diarization of Streaming Audio-Visual Data for Smart Environments

J. Schmalenstroeer, R. Haeb-Umbach, IEEE Journal of Selected Topics in Signal Processing 4 (2010) 845–856.

DOI

Robust vehicle localization based on multi-level sensor fusion and online parameter estimation

M. Bevermeier, S. Peschke, R. Haeb-Umbach, in: 6th Workshop on Positioning Navigation and Communication (WPNC 2009), 2009, pp. 235–242.

DOI

Joint Parameter Estimation and Tracking in a Multi-Stage Kalman Filter for Vehicle Positioning

M. Bevermeier, S. Peschke, R. Haeb-Umbach, in: IEEE 69th Vehicular Technology Conference (VTC 2009 Spring), 2009, pp. 1–5.

DOI

Eine Plattform fuer Mehrwertdienste im Bereich Logistik - Drahtlose Fahrzeug- und Laderaumueberwachung fuer LKW mit Hilfe einer Maut-On-Board Unit

M. Bevermeier, S. Peschke, R. Haeb-Umbach, in: DGON Navigationskonvent 2009, 2009.

Model based feature enhancement for automatic speech recognition in reverberant environments

A. Krueger, R. Haeb-Umbach, in: Interspeech 2009, 2009.

On the Estimation and Use of Feature Reliability Information for Noise Robust Speech Recognition

V. Leutnant, R. Haeb-Umbach, in: International Conference on Acoustics (NAG/DAGA 2009), 2009.

An analytic derivation of a phase-sensitive observation model for noise robust speech recognition

V. Leutnant, R. Haeb-Umbach, in: Interspeech 2009, 2009.

A GPS positioning approach exploiting GSM velocity estimates

S. Peschke, M. Bevermeier, R. Haeb-Umbach, in: 6th Workshop on Positioning Navigation and Communication (WPNC 2009), 2009, pp. 195–202.

DOI

Verbesserung von GPS-basierter Ortung durch GSM-Geschwindigkeitsschaetzungen

S. Peschke, M. Bevermeier, R. Haeb-Umbach, in: DGON Navigationskonvent 2009, 2009.

Approaches to Iterative Speech Feature Enhancement and Recognition

S. Windmann, R. Haeb-Umbach, IEEE Transactions on Audio, Speech, and Language Processing 17 (2009) 974–984.

DOI

Parameter Estimation of a State-Space Model of Noise for Robust Speech Recognition

S. Windmann, R. Haeb-Umbach, IEEE Transactions on Audio, Speech, and Language Processing 17 (2009) 1577–1590.

DOI

Audio-Visual Data Processing for Ambient Communication

J. Schmalenstroeer, V. Leutnant, R. Haeb-Umbach, in: 1st International Workshop on Distributed Computing in Ambient Environments within 32nd Annual Conference on Artificial Intelligence, 2009.

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A hierarchical approach to unsupervised shape calibration of microphone array networks

M. Hennecke, T. Ploetz, G.A. Fink, J. Schmalenstroeer, R. Haeb-Umbach, in: IEEE/SP 15th Workshop on Statistical Signal Processing (SSP 2009), 2009, pp. 257–260.

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Fusing Audio and Video Information for Online Speaker Diarization

J. Schmalenstroeer, M. Kelling, V. Leutnant, R. Haeb-Umbach, in: Interspeech 2009, 2009.

Uncertainty Decoding in Automatic Speech Recognition

R. Haeb-Umbach, 2008 ITG Conference on Voice Communication (SprachKommunikation) (2008) 1–7.

Error Concealement

R. Haeb-Umbach, V. Ion, in: B. Lindenberg, Z.-H. Tan (Eds.), Automatic Speech Recognition on Mobile Devices and over Communication Networks, Springer, 2008, pp. 187–210.

A Novel Uncertainty Decoding Rule With Applications to Transmission Error Robust Speech Recognition

V. Ion, R. Haeb-Umbach, IEEE Transactions on Audio, Speech, and Language Processing 16 (2008) 1047–1060.

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Investigations into Uncertainty Decoding Employing a Discrete Feature Space for Noise Robust Automatic Speech Recognition

V. Ion, R. Haeb-Umbach, 2008 ITG Conference on Voice Communication (SprachKommunikation) (2008) 1–4.

Blinde Akustische Strahlformung fuer Anwendungen im KFZ

A. Krueger, E. Warsitz, R. Haeb-Umbach, in: 34. Deutsche Jahrestagung Fuer Akustik (DAGA 2008), 2008.

Blind Speech Separation in Presence of Correlated Noise with Generalized Eigenvector Beamforming

D.H. Tran Vu, R. Haeb-Umbach, 2008 ITG Conference on Voice Communication (SprachKommunikation) (2008) 1–4.

Generalized Eigenvector Blind Speech Separation Under Coherent Noise In A GSC Configuration

D.H. Tran Vu, A. Krueger, R. Haeb-Umbach, in: International Workshop on Acoustic Echo and Noise Control (IWAENC 2008), 2008.

Speech enhancement with a new generalized eigenvector blocking matrix for application in a generalized sidelobe canceller

E. Warsitz, A. Krueger, R. Haeb-Umbach, in: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2008), 2008, pp. 73–76.

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Modeling the dynamics of speech and noise for speech feature enhancement in ASR

S. Windmann, R. Haeb-Umbach, in: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2008), 2008, pp. 4409–4412.

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A novel approach to noise estimation in model-based speech feature enhancement

S. Windmann, R. Haeb-Umbach, 2008 ITG Conference on Voice Communication (SprachKommunikation) (2008) 1–4.

A segmental HMM based on a modified emission probability

S. Windmann, R. Haeb-Umbach, V. Leutnant, 2008 ITG Conference on Voice Communication (SprachKommunikation) (2008) 1–4.

Channel Estimation by Exploiting Sublayer Information in OFDM Systems

M. Bevermeier, T. Ebel, R. Haeb-Umbach, in: Multi-Carrier Spread Spectrum 2007, 2007.

Combined Time and Frequency Domain OFDM Channel Estimation

M. Bevermeier, R. Haeb-Umbach, in: Multi-Carrier Spread Spectrum 2007, 2007.

OFDM Channel Estimation Based on Combined Estimation in Time and Frequency Domain

R. Haeb-Umbach, M. Bevermeier, in: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2007), 2007, pp. III-277-III–280.

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R. Haeb-Umbach, S. Peschke, IEEE Transactions on Vehicular Technology 56 (2007) 368–372.

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Multi-Resolution Soft Features for Channel-Robust Distributed Speech Recognition

V. Ion, R. Haeb-Umbach, in: Interspeech 2007, 2007.

Velocity Estimation of Mobile Terminals by Exploiting GSM Downlink Signalling

S. Peschke, R. Haeb-Umbach, in: 4th Workshop on Positioning Navigation and Communication (WPNC 2007), 2007, pp. 217–222.

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Blind Acoustic Beamforming Based on Generalized Eigenvalue Decomposition

E. Warsitz, R. Haeb-Umbach, IEEE Transactions on Audio, Speech, and Language Processing 15 (2007) 1529–1539.

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Blind Adaptive Principal Eigenvector Beamforming for Acoustical Source Separation

E. Warsitz, R. Haeb-Umbach, D.H. Tran Vu, in: Interspeech 2007, 2007.

An Approach to Iterative Speech Feature Enhancement and Recognition

S. Windmann, R. Haeb-Umbach, in: Interspeech 2007, 2007.

Joint Speaker Segmentation, Localization and Identification for Streaming Audio

J. Schmalenstroeer, R. Haeb-Umbach, in: Interspeech 2007, 2007.

Amigo Context Management Service with Applications in Ambient Communication Scenarios

J. Schmalenstroeer, V. Leutnant, R. Haeb-Umbach, in: AMI-07 - European Conference on Ambient Intelligence, 2007.

Zweistufige Sprache/Pause-Detektion in stark gestoerter Umgebung

E. Warsitz, R. Haeb-Umbach, J. Schmalenstroeer, in: 33. Deutsche Jahrestagung Fuer Akustik (DAGA 2007), 2007.

Projekt Amigo - Sprachsignalverarbeitung im vernetzten Haus

J. Schmalenstroeer, E. Warsitz, R. Haeb-Umbach, in: 33. Deutsche Jahrestagung Fuer Akustik (DAGA 2007), 2007.

Comparison of Decoder-based Transmission Error Compensation Techniques for Distributed Speech Recognition

V. Ion, R. Haeb-Umbach, in: 7. ITG-Fachtagung Sprachkommunikation, 2006.

An Inexpensive Packet Loss Compensation Scheme for Distributed Speech Recognition Based on Soft-Features

V. Ion, R. Haeb-Umbach, in: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2006), 2006, p. I.

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Uncertainty decoding for distributed speech recognition over error-prone networks

V. Ion, R. Haeb-Umbach, Speech Communication 48 (2006) 1435–1446.

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Improved Source Modeling and Predictive Classification for Channel Robust Speech Recognition

V. Ion, R. Haeb-Umbach, in: Interspeech 2006, 2006.

A Probabilistic Similarity Measure and a Non-Linear Post-Filter for Mobile Phone Positioning using GSM Signal Power Measurements

S. Peschke, R. Haeb-Umbach, in: European Navigation Conference \& Exhibition (ENC 2006), 2006.

Particle Filtering of Database assisted Positioning Estimates using a novel Similarity Measure for GSM Signal Power Level Measurements

S. Peschke, R. Haeb-Umbach, in: 3rd Workshop on Positioning Navigation and Communication (WPNC 2006), 2006.

Mehrkanalige Sprachsignalverarbeitung durch adaptives Eigenbeamforming fuer Freisprecheinrichtungen im Kraftfahrzeug

E. Warsitz, R. Haeb-Umbach, in: 32. Deutsche Jahrestagung Fuer Akustik (DAGA 2006), 2006.

Controlling Speech Distortion in Adaptive Frequency-Domain Principal Eigenvector Beamforming

E. Warsitz, R. Haeb-Umbach, in: International Workshop on Acoustic Echo and Noise Control (IWAENC 2006), 2006.

Einkanalige Sprachsignalverbesserung mit Hilfe eines marginalisierten Partikelfilters

S. Windmann, R. Haeb-Umbach, in: 7. ITG-Fachtagung Sprachkommunikation, 2006.

Iterative Speech Enhancement using a Non-Linear Dynamic State Model of Speech and its Parameters

S. Windmann, R. Haeb-Umbach, in: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2006), 2006, p. I.

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Online Speaker Change Detection by Combining BIC with Microphone Array Beamforming

J. Schmalenstroeer, R. Haeb-Umbach, in: Interspeech 2006, 2006.

Adaptive Filter-and-Sum Beamforming in Spatially Correlated Noise

R. Haeb-Umbach, E. Warsitz, in: International Workshop on Acoustic Echo and Noise Control (IWAENC 2005), 2005.

A Unified Probabilistic Approach to Error Concealment for Distributed Speech Recognition

V. Ion, R. Haeb-Umbach, in: Interspeech 2005, 2005.

A Comparison of Soft-Feature Distributed Speech Recognition with Candidate Codecs for Speech Enabled Mobile Services

V. Ion, R. Haeb-Umbach, in: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2005), 2005, pp. 333–336.

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Acoustic filter-and-sum beamforming by adaptive principal component analysis

E. Warsitz, R. Haeb-Umbach, in: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2005), 2005, p. iv/797-iv/800 Vol. 4.

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Speech Processing in the Networked Home Environment - A View on the Amigo Project

R. Haeb-Umbach, J. Schmalenstroeer, in: Interspeech 2005, Lisboa, 2005.

A Comparison of Particle Filtering Variants for Speech Feature Enhancement

R. Haeb-Umbach, J. Schmalenstroeer, in: Interspeech 2005, 2005.

Multipath-Resistant Time of Arrival Estimation for Satellite Positioning

R. Bischoff, R. Haeb-Umbach, S.R. Nammi, AEUe, Int. Journal on Electronics and Communications 58 (2004).

Soft Features for Improved Distributed Speech Recognition over Wireless Networks

R. Haeb-Umbach, V. Ion, in: International Conference on Spoken Language Processing (ICSLP 2004), 2004.

Robust speaker direction estimation with particle filtering

E. Warsitz, R. Haeb-Umbach, in: IEEE Workshop on Multimedia Signal Processing (MMSP 2004), 2004, pp. 367–370.

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Adaptive Beamforming Combined with Particle Filtering for Acoustic Source Localization

E. Warsitz, R. Haeb-Umbach, S. Peschke, in: International Conference on Spoken Language Processing (ICSLP 2004), 2004.

Auf ein Wort - Moeglichkeiten und Grenzen der automatischen Spracherkennung

R. Haeb-Umbach, Forschungsforum Paderborn (2003) 68–71.

Large Vocabulary Continuous Speech Recognition of Broadcast News - The Philips/RWTH Approach

P. Beyerlein, X. Aubert, R. Haeb-Umbach, M. Harris, D. Klakow, A. Wendemuth, S. Molau, N. Ney, M. Pitz, A. Sixtus, Speech Communication (2002) 109–131.

A Joint Time Multiplex Receiver for UMTS and Galileo

R. Bischoff, R. Haeb-Umbach, G. Heinrichs, in: ION-GPS 2002, 2002.

Employment of a multipath receiver structure in a combined GALILEO/UMTS receiver

R. Bischoff, R. Haeb-Umbach, W. Schulz, G. Heinrichs, in: IEEE 55th Vehicular Technology Conference (VTC 2002 Spring), 2002, pp. 1844–1848 vol.4.

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Estimation of Bias Location Error due to Absence of the LOS-Signal in a UMTS-System

T. Hesse, R. Bischoff, W. Schulz, R. Haeb-Umbach, in: International Symposium on Location Based Services for Cellular Users (LOCELLUS 2002), 2002.

Implementation of a Rake Receiver Architecture into a Galileo Receiver

R. Bischoff, R. Haeb-Umbach, W. Schulz, G. Heinrichs, in: 1st ESA Workshop on Satellite Navigation User Equipment Technology (Navitec 2001), 2001.

Automatic generation of phonetic regression class trees for MLLR adaptation

R. Haeb-Umbach, IEEE Transactions on Speech and Audio Processing 9 (2001) 299–302.

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Multiclass linear dimension reduction by weighted pairwise Fisher criteria

M. Loog, R.P.W. Duin, R. Haeb-Umbach, IEEE Transactions on Pattern Analysis and Machine Intelligence 23 (2001) 762–766.

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Multi-class Linear Feature Extraction by Nonlinear PCA

R.P.W. Duin, M. Loog, R. Haeb-Umbach, in: International Conference on Pattern Recognition (ICPR 2000), 2000.

Data-driven Phonetic Regression Class Tree Estimation for MLLR Adaptation

R. Haeb-Umbach, in: International Conference on Spoken Language Processing (ICSLP 2000), 2000.

LDA derived cepstral trajectory filters in adverse environmental conditions

M. Lieb, R. Haeb-Umbach, in: IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2000), 2000, pp. II1105-II1108 vol.2.

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Multi-class Linear Dimension Reduction by Generalized Fisher Criteria

M. Loog, R. Haeb-Umbach, in: International Conference on Spoken Language Processing (ICSLP 2000), 2000.

The Philips/RWTH system for transcription of broadcast news

P. Beyerlein, X.L. Aubert, R. Haeb-Umbach, M.J. Harris, D. Klakow, A. Wendemuth, S. Molau, M. Pitz, A. Sixtus, in: Eurospeech, 1999.

The Philips/RWTH System for Transcription of Broadcast News

P. Beyerlein, X.L. Aubert, R. Haeb-Umbach, M.J. Harris, D. Klakow, A. Wendemuth, S. Molau, M. Pitz, A. Sixtus, in: Broadcast News Transcription and Understanding Workshop, Washington, 1999.

Investigations on inter-speaker variability in the feature space

R. Haeb-Umbach, in: ICASSP99 Phoenix, AZ, 1999.

An Investigation of Cepstral Parameterisations for Large Vocabulary Speech Recognition

R. Haeb-Umbach, M. Loog, in: Eurospeech, 1999.

A study of broadcast news audio stream segmentation and segment clustering

M.J. Harris, X.L. Aubert, R. Haeb-Umbach, P. Beyerlein, in: Eurospeech, 1999.

Automatic Transcription of English Broadcast News

P. Beyerlein, X.L. Aubert, R. Haeb-Umbach, D. Klakow, M. Ullrich, A. Wendemuth, P. Wilcox, in: DARPA Broadcast News Transcription and Understanding Workshop, Landsdowne, 1998.

Acoustic Modeling in the Philips Hub-4 Continuous-Speech Recognition System

R. Haeb-Umbach, X.L. Aubert, P. Beyerlein, D. Klakow, M. Ullrich, A. Wendemuth, P. Wilcox, in: DARPA Broadcast News Transcription and Understanding Workshop, Landsdowne, 1998.

Language-Model Investigations related to Broadcast News

D. Klakow, X.L. Aubert, R. Haeb-Umbach, P. Beyerlein, M. Ullrich, A. Wendemuth, P. Wilcox, in: DARPA Broadcast News Transcription and Understanding Workshop, Landsdowne, 1998.

A Study on Speaker Normalization Using Vocal Tract Normalization and Speaker Adaptive Training

L. Welling, R. Haeb-Umbach, X. Aubert, N. Haberland, in: ICASSP 1998, Seattle, 1998.

Signal Representations for Hidden Markov Model Based On-Line Handwriting Recognition

J.G.A. Dolfing, R. Haeb-Umbach, in: ICASSP, Munich, 1997.

The development of a command-based speech interface for a telephone answering machine

S. Gamm, R. Haeb-Umbach, D. Langmann, Speech Communication (1997).

Robust Speech Recognition for Wireless Networks and Mobile Telephony

R. Haeb-Umbach, in: Eurospeech, 1997.

European Speech Databases for Telephone Applications

H. Hoege, H.S. Tropf, R. Winsky, H. van den Heuvel, R. Haeb-Umbach, K. Choukri, in: ICASSP, Munich, 1997.

Acoustic Front Ends for Speaker-Independent Digit Recognition in Car Environments

D. Langmann, A. Fischer, F. Wuppermann, R. Haeb-Umbach, T. Eisele, in: Eurospeech, 1997.