Pub­lic­a­tions

2024

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.


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.


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.


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.


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).


2023

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.


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.


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.


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.


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.


Mixture Encoder for Joint Speech Separation and Recognition

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


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.


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.


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.


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.


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.


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.


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.


2022

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).


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.


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.


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.


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.


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.


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.


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.


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.


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.


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.


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.


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.


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.


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.


2021

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.


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.


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.


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.


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.


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.


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).


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.


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.


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.



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.


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.


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.


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.


2020

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.


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.


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.


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.


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.


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.


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.


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.


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.


2019

Lektionen für Alexa \& Co?!

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



Unsupervised training of neural mask-based beamforming

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


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.


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.


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.


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).


Improving CTC Using Stimulated Learning for Sequence Modeling

J. Heymann, B.L. Khe Chai Sim, in: ICASSP 2019, Brighton, UK, 2019.


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.


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.


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.


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.


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.


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.


Lektionen für Alexa & Co?!

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


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.



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.


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.


2018

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.


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.


Smoothing along Frequency in Online Neural Network Supported Acoustic Beamforming

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


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.



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.


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.


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.


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.


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.


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.


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.


Insights into the Interplay of Sampling Rate Offsets and MVDR Beamforming

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


2017

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.


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.


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

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


Leveraging Text Data for Word Segmentation for Underresourced Languages

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


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.


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

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


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.


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.


2016

A Priori SNR Estimation Using a Generalized Decision Directed Approach

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


A Priori SNR Estimation Using Weibull Mixture Model

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


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.


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.


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.


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.


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.


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.


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.


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.


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.


Investigations into Bluetooth Low Energy Localization Precision Limits

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


2015

On Optimal Smoothing in Minimum Statistics Based Noise Tracking

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


Semantic Analysis of Spoken Input using Markov Logic Networks

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


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.


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.



Robust Automatic Speech Recognition

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


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.


Autonomous Learning of Representations

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


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.


2014

Spectral Noise Tracking for Improved Nonstationary Noise Robust ASR

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


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.


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.


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.



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.


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.


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.


A combined hardware-software approach for acoustic sensor network synchronization

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


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.


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.


2013

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.


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.


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.


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.


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.


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.


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.


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.


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.


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.


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.


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.


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.


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.


2012

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.


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.


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.


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.


2011

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.


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.


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.



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.


2010

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.


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.


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.



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.


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.


2009

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.


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.




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.



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.


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.


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.


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.


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.


Fusing Audio and Video Information for Online Speaker Diarization

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


2008

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.


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.


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.


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.


2007

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.


A Novel Similarity Measure for Positioning Cellular Phones by a Comparison With a Database of Signal Power Levels

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



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.


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.


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.


2006

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.


Uncertainty decoding for distributed speech recognition over error-prone networks

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



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.


Online Speaker Change Detection by Combining BIC with Microphone Array Beamforming

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


2005

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 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.


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.


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.


2004

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.


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.


2003

Auf ein Wort - Moeglichkeiten und Grenzen der automatischen Spracherkennung

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


2002

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.


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.


2001

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.


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.


2000

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.


Multi-class Linear Dimension Reduction by Generalized Fisher Criteria

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


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: 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.



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.


1998

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.


1997

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).



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.


Investigation of Acoustic Front Ends for Speaker-Independent Speech Recognition in the Car

D. Langmann, F. Wuppermann, R. Haeb-Umbach, A. Fischer, T. Eisele, in: Aachener Kolloquium on Signal Theory, 1997.


1996

A Comparative Study of Linear Feature Transformation Techniques for Automatic Speech Recognition

T. Eisele, R. Haeb-Umbach, D. Langmann, in: ICSLP , Philadelphia, 1996.


Findings with the Design of a Command-Based Speech Interface for a Voice Mail System

S. Gamm, R. Haeb-Umbach, D. Langmann, in: IEEE Workshop on Interactive Voice Technology for Telecommunications Applications, 1996.



Robust Rejection Modeling for a Small-Vocabulary Application

D. Langmann, R. Haeb-Umbach, T. Eisele, in: ITG Fachtagung Sprachkommunikation, Frankfurt, 1996.


1995

Application of Clustering Techniques to Mixture Density Modelling for Continuous-Speech Recognition

C. Dugast, P. Beyerlein, R. Haeb-Umbach, in: ICASSP, Detroit, 1995.


User interface design of voice controlled consumer electronics

S. Gamm, R. Haeb-Umbach, Philips Journal of Research (1995).


Human Factors of a Voice-Controlled Car Stereo

S. Gamm, R. Haeb-Umbach, in: Eurospeech, Madrid, 1995.


The Usability Engineering of a Voice-Controlled Answering Machine

S. Gamm, R. Haeb-Umbach, D. Langmann, in: International Symposium on Human Factors in Telecommunications, Melbourne, 1995.


Speech recognition algorithms for voice control interfaces

R. Haeb-Umbach, P. Beyerlein, D. Geller, Philips Journal of Research (1995).


Automatic Transcription of Unknown Words in a Speech Recognition System

R. Haeb-Umbach, P. Beyerlein, E. Thelen, in: ICASSP, Detroit, 1995.


Show all publications