Joint beamforming and spectral enhancement for robust automatic speech recognition in reverberant environments

Fanuel Melak Asmare; Feifei Xiong; Mathias Bode; Bernard Mayer; Stefan Goetze

doi:10.1121/1.4950678

Joint beamforming and spectral enhancement for robust automatic speech recognition in reverberant environments

The Journal of the Acoustical Society of America ◽

10.1121/1.4950678 ◽

2016 ◽

Vol 139 (4) ◽

pp. 2224-2225

Author(s):

Fanuel Melak Asmare ◽

Feifei Xiong ◽

Mathias Bode ◽

Bernard Mayer ◽

Stefan Goetze

Keyword(s):

Speech Recognition ◽

Automatic Speech Recognition ◽

Reverberant Environments ◽

Spectral Enhancement

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Subband temporal modulation spectrum normalization for automatic speech recognition in reverberant environments

10.21437/interspeech.2009-374 ◽

2009 ◽

Author(s):

Xugang Lu ◽

Masashi Unoki ◽

Satoshi Nakamura

Keyword(s):

Speech Recognition ◽

Automatic Speech Recognition ◽

Temporal Modulation ◽

Modulation Spectrum ◽

Reverberant Environments

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An MTF‐based blind restoration of temporal power envelopes as a front‐end processor for automatic speech recognition systems in reverberant environments

The Journal of the Acoustical Society of America ◽

10.1121/1.2933278 ◽

2008 ◽

Vol 123 (5) ◽

pp. 3180-3180

Author(s):

Xugang Lu ◽

Masashi Unoki ◽

Masato Akagi

Keyword(s):

Speech Recognition ◽

Automatic Speech Recognition ◽

Front End ◽

Reverberant Environments ◽

Blind Restoration ◽

Recognition Systems

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Robust automatic speech recognition based on neural network in reverberant environments

Civil, Architecture and Environmental Engineering, Volume 2 ◽

10.1201/9781315116242-55 ◽

2017 ◽

Author(s):

L Bai ◽

H Li ◽

Y He

Keyword(s):

Neural Network ◽

Speech Recognition ◽

Automatic Speech Recognition ◽

Reverberant Environments

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Towards Robust Distant-Talking Automatic Speech Recognition in Reverberant Environments

Speech and Audio Processing in Adverse Environments - Signals and Communication Technology ◽

10.1007/978-3-540-70602-1_18 ◽

2008 ◽

pp. 679-728 ◽

Cited By ~ 6

Author(s):

Armin Sehr ◽

Walter Kellermann

Keyword(s):

Speech Recognition ◽

Automatic Speech Recognition ◽

Reverberant Environments

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Model based feature enhancement for automatic speech recognition in reverberant environments

10.21437/interspeech.2009-355 ◽

2009 ◽

Author(s):

Alexander Krueger ◽

Reinhold Haeb-Umbach

Keyword(s):

Speech Recognition ◽

Automatic Speech Recognition ◽

Feature Enhancement ◽

Model Based ◽

Reverberant Environments

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Robust automatic speech recognition based on neural network in reverberant environments

Civil, Architecture and Environmental Engineering ◽

10.1201/9781315226187-253 ◽

2017 ◽

pp. 1373-1378

Keyword(s):

Neural Network ◽

Speech Recognition ◽

Automatic Speech Recognition ◽

Reverberant Environments

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Normalization on the modulation spectrum of the subband temporal envelopes for automatic speech recognition in reverberant environments

Proceedings of the 3rd International Universal Communication Symposium on - IUCS '09 ◽

10.1145/1667780.1667832 ◽

2009 ◽

Cited By ~ 2

Author(s):

X. Lu ◽

M. Unoki ◽

S. Nakamura

Keyword(s):

Speech Recognition ◽

Automatic Speech Recognition ◽

Modulation Spectrum ◽

Reverberant Environments

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A study on joint beamforming and spectral enhancement for robust speech recognition in reverberant environments

2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp.2015.7178931 ◽

2015 ◽

Cited By ~ 2

Author(s):

Feifei Xiong ◽

Bernd T. Meyer ◽

Stefan Goetze

Keyword(s):

Speech Recognition ◽

Robust Speech Recognition ◽

Reverberant Environments ◽

Spectral Enhancement

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Testing the limits: Quantifying the degradation of automatic speech recognition in reverberant environments.

The Journal of the Acoustical Society of America ◽

10.1121/1.3248830 ◽

2009 ◽

Vol 126 (4) ◽

pp. 2218

Author(s):

Stephen Secules ◽

Jonas Braasch

Keyword(s):

Speech Recognition ◽

Automatic Speech Recognition ◽

Reverberant Environments

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Blind Model Selection for Automatic Speech Recognition in Reverberant Environments

The Journal of VLSI Signal Processing Systems for Signal Image and Video Technology ◽

10.1023/b:vlsi.0000015096.78139.82 ◽

2004 ◽

Vol 36 (2/3) ◽

pp. 189-203 ◽

Cited By ~ 14

Author(s):

Laurent Couvreur ◽

Christophe Couvreur

Keyword(s):

Speech Recognition ◽

Model Selection ◽

Automatic Speech Recognition ◽

Reverberant Environments ◽

Selection For

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