Adaptive beamforming and soft missing data decoding for robust speech recognition in reverberant environments

Mapping Intimacies ◽

10.21437/interspeech.2008-285 ◽

2008 ◽

Author(s):

Marco Kühne ◽

Roberto Togneri ◽

Sven Nordholm

Keyword(s):

Speech Recognition ◽

Missing Data ◽

Adaptive Beamforming ◽

Robust Speech Recognition ◽

Reverberant Environments

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Analysis of CFA-BF: Novel combined fixed/adaptive beamforming for robust speech recognition in real car environments

Speech Communication ◽

10.1016/j.specom.2009.09.001 ◽

2010 ◽

Vol 52 (2) ◽

pp. 134-149 ◽

Cited By ~ 6

Author(s):

John H.L. Hansen ◽

Xianxian Zhang

Keyword(s):

Speech Recognition ◽

Adaptive Beamforming ◽

Robust Speech Recognition

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PROSPECT features and their application to missing data techniques for robust speech recognition

10.21437/interspeech.2004-93 ◽

2004 ◽

Cited By ~ 2

Author(s):

Hugo Van hamme

Keyword(s):

Speech Recognition ◽

Missing Data ◽

Robust Speech Recognition ◽

Missing Data Techniques

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Robust speech recognition using missing data techniques in the prospect domain and fuzzy masks

2008 IEEE International Conference on Acoustics, Speech and Signal Processing ◽

10.1109/icassp.2008.4518629 ◽

2008 ◽

Cited By ~ 4

Author(s):

Maarten Van Segbroeck ◽

Hugo Van hamme

Keyword(s):

Speech Recognition ◽

Missing Data ◽

Robust Speech Recognition ◽

Missing Data Techniques

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Deep long short-term memory adaptive beamforming networks for multichannel robust speech recognition

2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp.2017.7952160 ◽

2017 ◽

Cited By ~ 22

Author(s):

Zhong Meng ◽

Shinji Watanabe ◽

John R. Hershey ◽

Hakan Erdogan

Keyword(s):

Speech Recognition ◽

Short Term Memory ◽

Adaptive Beamforming ◽

Robust Speech Recognition ◽

Short Term ◽

Term Memory ◽

Long Short Term Memory

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Methods for robust speech recognition in reverberant environments: a comparison

10.21437/interspeech.2010-228 ◽

2010 ◽

Author(s):

Rico Petrick ◽

Thomas Fehér ◽

Masashi Unoki ◽

Rüdiger Hoffmann

Keyword(s):

Speech Recognition ◽

Robust Speech Recognition ◽

Reverberant Environments

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Robust speech recognition in reverberant environments using subband-based steady-state monaural and binaural suppression

10.21437/interspeech.2014-153 ◽

2014 ◽

Author(s):

Hyung-Min Park ◽

Matthew Maciejewski ◽

Chanwoo Kim ◽

Richard M. Stern

Keyword(s):

Steady State ◽

Speech Recognition ◽

Robust Speech Recognition ◽

Reverberant Environments

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A pitch based noise estimation technique for robust speech recognition with Missing Data

2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp.2011.5947431 ◽

2011 ◽

Cited By ~ 10

Author(s):

Juan A. Morales-Cordovilla ◽

Ning Ma ◽

Victoria Sanchez ◽

Jose L. Carmona ◽

Antonio M. Peinado ◽

...

Keyword(s):

Speech Recognition ◽

Missing Data ◽

Noise Estimation ◽

Robust Speech Recognition ◽

Estimation Technique

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Missing data techniques for robust speech recognition

1997 IEEE International Conference on Acoustics, Speech, and Signal Processing ◽

10.1109/icassp.1997.596072 ◽

2002 ◽

Cited By ~ 35

Author(s):

M. Cooke ◽

A. Morris ◽

P. Green

Keyword(s):

Speech Recognition ◽

Missing Data ◽

Robust Speech Recognition ◽

Missing Data Techniques

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Amplitude modulation spectrogram based features for robust speech recognition in noisy and reverberant environments

2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp.2011.5947602 ◽

2011 ◽

Cited By ~ 18

Author(s):

Niko Moritz ◽

Jorn Anemuller ◽

Birger Kollmeier

Keyword(s):

Speech Recognition ◽

Amplitude Modulation ◽

Robust Speech Recognition ◽

Reverberant Environments

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Compressive Sensing for Missing Data Imputation in Noise Robust Speech Recognition

IEEE Journal of Selected Topics in Signal Processing ◽

10.1109/jstsp.2009.2039171 ◽

2010 ◽

Vol 4 (2) ◽

pp. 272-287 ◽

Cited By ~ 66

Author(s):

J.F. Gemmeke ◽

H. Van Hamme ◽

B. Cranen ◽

L. Boves

Keyword(s):

Speech Recognition ◽

Missing Data ◽

Compressive Sensing ◽

Robust Speech Recognition ◽

Data Imputation ◽

Missing Data Imputation ◽

Noise Robust Speech Recognition ◽

Noise Robust

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