Veröffentlichungen

Google Scholar Seite
https://scholar.google.de/citations?user=SOit5UwAAAAJ&hl=en


Buchkapitel, Bücher

[1] A. Sehr, W. Kellermann
Towards robust distant-talking automatic speech recognition in reverberant environments, In Topics in Speech and Audio Processing in Adverse Environments
E. Hänsler und G. Schmidt, Eds., Springer, Berlin, 2008

[2] A. Sehr
Reverberation Modeling for Robust Distant-Talking Speech Recognition,
Verlag Dr. Hut, ISBN: 978-3-86853-576-1, München, 2010

[3] K. Kinoshita, M. Delcroix, S. Gannot, E. Habets, R. Haeb-Umbach, W. Kellermann, V. Leutnant, R. Maas, T. Nakatani, B. Raj, A. Sehr, T. Yoshioka
The REVERB challenge: A benchmark task for reverberation-robust ASR techniques
New Era for Robust Speech Recognition, Editor(en): Shinji Watanabe, Marc Delcroix, Florian Metze, John R. Hershey, Seiten: 345 - 354, Springer International Publishing AG 2017, Jul 2017


Artikel in wissenschaftlichen Zeitschriften

[1] A. Sehr, R. Maas, W. Kellermann
Reverberation Model-Based Decoding in the Logmelspec Domain for Robust Distant-Talking Speech Recognition, IEEE Transactions on Audio, Speech, and Language Processing, Vol. 18, Num. 7, pp. 1676-1691, Sept. 2010

[2] T. Yoshioka, A. Sehr, M. Delcroix, K. Kinoshita, R. Maas, T. Nakatani, W. Kellermann
Making Machines Understand Us in Reverberant Rooms: Robustness against Reverberation for Automatic Speech Recognition, IEEE Signal Processing Magazine Vol. 29, Num. 6, Seiten: 114-126, Nov. 2012

[3] K. Reindl, Y. Zheng, A. Schwarz, S. Meier, R. Maas, A. Sehr, W. Kellermann
A Stereophonic Acoustic Signal Extraction Scheme for Noisy and Reverberant Environments
Computer Speech and Language (CSL) Vol. 27, Num. 3, Seiten: 726-745, Mai 2013

[4] K. Kinoshita, M. Delcroix, S. Gannot, E. Habets, R. Haeb-Umbach, W. Kellermann, V. Leutnant, R. Maas, T. Nakatani, B. Raj, A. Sehr, T. Yoshioka
A summary of the REVERB challenge: state-of-the-art and remaining challenges in reverberant speech processing research
EURASIP Journal on Advances in Signal Processing Online Publication, Num. 2016:7, Pages: 1-19, Jan. 2016

[5] R. Maas, C. Hümmer, A. Sehr, W. Kellermann
A Bayesian view on acoustic model-based techniques for robust speech recognition
EURASIP Journal on Advances in Signal Processing Online Publication, Num. 2015:103, Pages: 1--16, Dec. 2015


Konferenzbeiträge

[1]  A. Sehr, O. Gress, W. Kellermann
Synthetisches Multicondition-Training zur robusten Erkennung verhallter Sprache,
Proc. ITG Fachtagung Sprachkommunikation, 2006

[2] A. Sehr, M. Zeller, W. Kellermann
Hands-free speech recognition using a reverberation model in the feature domain,Proc. European Signal Processing Conference (EUSIPCO), 2006

[3] A. Sehr, M. Zeller, W. Kellermann
Distant-talking continuous speech recognition based on a novel reverberation model in the feature domain, In Proc. INTERSPEECH, 2006

[4] A. Sehr, W. Kellermann
A new concept for feature-domain dereverberation for robust distant-talking ASR
Proc. IEEE Intl. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), 2007

[5] A. Sehr, Y. Zheng, E. Nöth, W. Kellermann
Maximum likelihood estimation of a reverberation model for robust distant-talking speech recognition, In Proc. Proc. European Signal Processing Conference (EUSIPCO), 2007

[6] A. Sehr, W. Kellermann
New results for feature-domain reverberation modeling,
Proc. Workshop on Hands-free Speech Communication and Microphone Arrays (HSCMA), 2008

[7] A. Sehr, W. Kellermann
A simplified decoding method for a robust distant-talking ASR concept based on feature-domain dereverberation, Proc. Int. Workshop on Acoustic Echo and Noise Control (IWAENC), 2008

[8] A. Sehr, J.Y.C. Wen, W. Kellermann, P.A. Naylor
A combined approach for estimating a feature-domain reverberation model in non-diffuse environments, In Proc. Int. Workshop on Acoustic Echo and Noise Control (IWAENC), 2008

[9] A. Sehr, W. Kellermann
Model-based dereverberation of speech in the mel-spectral domain,
Proc. Asilomar Conference on Signal, Systems, and Computers, 2008

[10] A. Sehr, W. Kellermann
Strategies for modeling reverberant speech in the feature domain,
Proc. IEEE Intl. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), 2009

[11]  J.Y.C. Wen, A. Sehr, P.A. Naylor W. Kellermann,
Blind estimation of a feature-domain reverberation model in non-diffuse environments with variance adjustment,
Proc. European Signal Processing Conference (EUSIPCO), 2009

[12] A. Sehr, M. Gardill,  W. Kellermann
Adapting HMMs of Distant-Talking ASR Systems Using Feature-Domain Reverberation Models, Proc. European Signal Processing Conference (EUSIPCO), 2009

[13] A. Sehr, R. Maas, W. Kellermann
Model-Based Dereverberation in the Logmelspec Domain for Robust Distant-Talking Speech Recognition, In Proc. IEEE Intl. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), pp. 4298-4301, 2010

[14] R. Maas, A. Sehr, M. Gugat, W. Kellermann
A Highly Efficient Optimization Scheme for REMOS-Based Distant-Talking Speech Recognition, Proc. European Signal Processing Conference (EUSIPCO), pp. 1983-1987, 2010

[15] R. Maas, A. Sehr, W. Kellermann
Multi-Style Reverberation Models and Efficient Model Adaptation for Robust Distant-Talking Speech Recognition with REMOS,
Proc. ITG Fachtagung Sprachkommunikation, 2010

[16] A. Sehr, W. Kellermann
On the Statistical Properties of Reverberant Speech Feature Vector Sequences,
Proc. International Workshop on Acoustic Echo and Noise Control (IWAENC), 2010

[17] A. Sehr, E.A.P. Habets, R. Maas, W. Kellermann
Towards a Better Understanding of the Effect of Reverberation on Speech Recognition Performance,
Proc. International Workshop on Acoustic Echo and Noise Control (IWAENC), 2010

[18]  A. Sehr, C. Hofmann, R. Maas, W. Kellermann
A Novel Approach for Matched Reverberant Training of HMMs using Data Pairs
Proc. INTERSPEECH, pp. 566-569, 2010

[19] R. Maas, A. Sehr, W. Kellermann
Reverberation Modeling for Robust Speech Recognition
Proc. Deutsche Jahrestagung für Akustik (DAGA), 2011

[20] A. Sehr, R. Maas, W. Kellermann
Frame-Wise HMM Adaptation Using State-Dependent Reverberation Estimates,
Proc. IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), 2011

[21] R. Maas, M. Wolf, A. Sehr, C. Nadeu, W. KellermannExtension of the REMOS Concept to Frequency-Filtering-Based Features for Reverberation-Robust Speech Recognition,Proc. Workshop on Hands-free Speech Communication and Microphone Arrays (HSCMA), 2011

[22]  A. Sehr, C. Hofmann, R. Maas, W. Kellermann
Multi-Style Training of HMMs with Stereo Data for Reverberation-Robust Speech Recognition,
Proc. Workshop on Hands-free Speech Communication and Microphone Arrays (HSCMA), 2011

[23] R. Maas, A. Schwarz, Y. Zheng, K. Reindl, S. Meier, A. Sehr, W. KellermannA Two-Channel Acoustic Front-End for Robust Automatic Speech Recognition in Noisy and Reverberant Environments,
Proc. International Workshop on Machine Listening in Multisource Environments (CHiME), 2011

[24] R. Maas, E.A.P. Habets, A. Sehr, W. Kellermann
On the Application of Reverberation Suppression to Robust Speech Recognition
Proc. IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), Seiten: 297-300, 2012

[25] R. Maas, A. Schwarz, K. Reindl, Y. Zheng, S. Meier, A. Sehr, W. Kellermann
Matching the Acoustic Model to Front-End Signal Processing for ASR in Noisy and Reverberant Environments, Proc. Deutsche Jahrestagung für Akustik (DAGA), 2012

[26] K. Reindl, R. Maas, A. Schwarz, Y. Zheng, S. Meier, A. Sehr, W. KellermannA Stereophonic Acoustic Front-End for Distant-Talking Interfaces based on Blind Source Separation
Proc. Deutsche Jahrestagung für Akustik (DAGA), 2012

[27] R. Maas, Sujan R. Kotha, A. Sehr, W. Kellermann
Combined-Order Hidden Markov Models for Reverberation-Robust Speech Recognition
Proc. Int. Workshop on Cognitive Information Processing (CIP), Seiten: 167-171, Baiona, Spain, Mai 2012

[28] T. Yoshioka, A. Sehr, M. Delcroix, K. Kinoshita, R. Maas, T. Nakatani, W. KellermannSurvey on Approaches to Speech Recognition in Reverberant Environments,
Proc. APSIPA Annual Summit and Conference, 2012

[29] R. Maas, A. Thippur, A. Sehr, W. Kellermann
An Uncertainty Decoding Approach to Noise- and Reverberation-Robust Speech Recognition
Proc. IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), 2013

[30] C. Hofmann, A. Sehr, S. Sahoo, R. Maas, W. Kellermann
New Results on Automatic Speech Recognition in Extremely Reverberant Environments
Proc. AIA-DAGA 2013 Conference on Acoustics, Seiten: 2059-2062, 2013

[31] R. Maas, A. Sehr, T. Yoshioka, M. Delcroix, K. Kinoshita, T. Nakatani, W. Kellermann
Formulation of the REMOS Concept from an Uncertainty Decoding Perspective
Proc. International Conference on Digital Signal Processing (DSP), 2013
  
[32] A. Sehr, T. Yoshioka, M. Delcroix, K. Kinoshita, T. Nakatani, R. Maas, W. Kellermann
Conditional Emission Densities for Combining Speech Enhancement and Recognition Systems
Proc. INTERSPEECH, 2013

[33] K. Kinoshita, M. Delcroix, T. Yoshioka, T. Nakatani, E. Habets, R. Haeb-Umbach, V. Leutnant, A. Sehr, W. Kellermann, R. Maas, S. Gannot, B. RajThe REVERB Challenge: A Common Evaluation Framework for Dereverberation and Recognition of Reverberant Speech,
Proc. IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 2013

[34] A. Sehr, H. Barfuss, C. Hofmann, R. Maas, W. Kellermann
Efficient Training of Acoustic Models for Reverberation-Robust Medium-Vocabulary Automatic Speech Recognition
Proc. Joint Workshop on Hands-free Speech Communication and Microphone Arrays (HSCMA), 2014