Armin Sehr
Armin Sehr
OTH Regensburg
Verified email at oth-regensburg.de
TitleCited byYear
The REVERB challenge: A common evaluation framework for dereverberation and recognition of reverberant speech
K Kinoshita, M Delcroix, T Yoshioka, T Nakatani, E Habets, ...
2013 IEEE Workshop on Applications of Signal Processing to Audio and …, 2013
2912013
Making machines understand us in reverberant rooms: Robustness against reverberation for automatic speech recognition
T Yoshioka, A Sehr, M Delcroix, K Kinoshita, R Maas, T Nakatani, ...
IEEE Signal Processing Magazine 29 (6), 114-126, 2012
2232012
A summary of the REVERB challenge: state-of-the-art and remaining challenges in reverberant speech processing research
K Kinoshita, M Delcroix, S Gannot, EAP Habets, R Haeb-Umbach, ...
EURASIP Journal on Advances in Signal Processing 2016 (1), 7, 2016
1562016
Speech and audio processing in adverse environments
GS Eberhard Hänsler
Springer Science & Business Media, 2008
112*2008
Reverberation model-based decoding in the logmelspec domain for robust distant-talking speech recognition
A Sehr, R Maas, W Kellermann
IEEE transactions on audio, speech, and language processing 18 (7), 1676-1691, 2010
742010
A stereophonic acoustic signal extraction scheme for noisy and reverberant environments
K Reindl, Y Zheng, A Schwarz, S Meier, R Maas, A Sehr, W Kellermann
Computer Speech & Language 27 (3), 726-745, 2013
382013
Towards a better understanding of the effect of reverberation on speech recognition performance
A Sehr, EAP Habets, R Maas, W Kellermann
Proc. IWAENC, 2010
272010
On the application of reverberation suppression to robust speech recognition
R Maas, EAP Habets, A Sehr, W Kellermann
2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012
232012
Distant-talking continuous speech recognition based on a novel reverberation model in the feature domain
A Sehr, M Zeller, W Kellermann
Ninth International Conference on Spoken Language Processing, 2006
232006
Reverberation Modeling for Robust Distant Talking Speech Recognition: Nachhallmodellierung Für Die Robuste Spracherkennung Mit Freisprechmikrofonen
AM Sehr
Verlag Dr. Hut, 2010
222010
A two-channel acoustic front-end for robust automatic speech recognition in noisy and reverberant environments
R Maas, A Schwarz, Y Zheng, K Reindl, S Meier, A Sehr, W Kellermann
Machine Listening in Multisource Environments, 2011
212011
A new concept for feature-domain dereverberation for robust distant-talking asr
A Sehr, W Kellermann
2007 IEEE International Conference on Acoustics, Speech and Signal …, 2007
202007
A novel approach for matched reverberant training of HMMs using data pairs
A Sehr, C Hofmann, R Maas, W Kellermann
Eleventh Annual Conference of the International Speech Communication Association, 2010
142010
Hands-free speech recognition using a reverberation model in the feature domain
A Sehr, M Zeller, W Kellermann
2006 14th European Signal Processing Conference, 1-5, 2006
132006
Frame-wise HMM adaptation using state-dependent reverberation estimates
A Sehr, R Maas, W Kellermann
2011 IEEE International Conference on Acoustics, Speech and Signal …, 2011
122011
Multi-style training of HMMs with stereo data for reverberation-robust speech recognition
A Sehr, C Hofmann, R Maas, W Kellermann
2011 Joint Workshop on Hands-free Speech Communication and Microphone Arrays …, 2011
92011
Model-based dereverberation in the Logmelspec domain for robust distant-talking speech recognition
A Sehr, R Maas, W Kellermann
2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010
92010
On the statistical properties of reverberant speech feature vector sequences
A Sehr, W Kellermann
IWAENC, 2010
92010
Maximum likelihood estimation of a reverberation model for robust distant-talking speech recognition
A Sehr, Y Zheng, E Nöth, W Kellermann
2007 15th European Signal Processing Conference, 1299-1303, 2007
92007
Adapting HMMs of distant-talking ASR systems using feature-domain reverberation models
A Sehr, M Gardill, W Kellermann
2009 17th European Signal Processing Conference, 540-543, 2009
82009
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