Reverberant speech recognition based on denoising autoencoder

Mapping Intimacies ◽

10.21437/interspeech.2013-267 ◽

2013 ◽

Author(s):

Takaaki Ishii ◽

Hiroki Komiyama ◽

Takahiro Shinozaki ◽

Yasuo Horiuchi ◽

Shingo Kuroiwa

Keyword(s):

Speech Recognition ◽

Denoising Autoencoder ◽

Reverberant Speech ◽

Reverberant Speech Recognition

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Bayesian feature enhancement using independent vector analysis and reverberation parameter re-estimation for noisy reverberant speech recognition

Computer Speech & Language ◽

10.1016/j.csl.2017.01.010 ◽

2017 ◽

Vol 46 ◽

pp. 496-516 ◽

Cited By ~ 1

Author(s):

Ji-Won Cho ◽

Jong-Hyeon Park ◽

Joon-Hyuk Chang ◽

Hyung-Min Park

Keyword(s):

Speech Recognition ◽

Vector Analysis ◽

Independent Vector ◽

Feature Enhancement ◽

Independent Vector Analysis ◽

Reverberant Speech ◽

Reverberant Speech Recognition

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Noise model transfer using affine transformation with application to large vocabulary reverberant speech recognition

2013 IEEE International Conference on Acoustics, Speech and Signal Processing ◽

10.1109/icassp.2013.6639031 ◽

2013 ◽

Cited By ~ 2

Author(s):

Takuya Yoshioka ◽

Tomohiro Nakatani

Keyword(s):

Speech Recognition ◽

Affine Transformation ◽

Noise Model ◽

Large Vocabulary ◽

Model Transfer ◽

Reverberant Speech ◽

Reverberant Speech Recognition

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Feature and distribution normalization schemes for statistical mismatch reduction in reverberant speech recognition

10.21437/interspeech.2007-94 ◽

2007 ◽

Author(s):

A. M. Toh ◽

Roberto Togneri ◽

Sven Nordholm

Keyword(s):

Speech Recognition ◽

Reverberant Speech ◽

Reverberant Speech Recognition

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An auditory based modulation spectral feature for reverberant speech recognition

10.21437/interspeech.2010-225 ◽

2010 ◽

Author(s):

Hari Krishna Maganti ◽

Marco Matassoni

Keyword(s):

Speech Recognition ◽

Spectral Feature ◽

Reverberant Speech ◽

Reverberant Speech Recognition

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Weight-Space Viterbi Decoding Based Spectral Subtraction for Reverberant Speech Recognition

IEEE Signal Processing Letters ◽

10.1109/lsp.2015.2408371 ◽

2015 ◽

Vol 22 (9) ◽

pp. 1424-1428 ◽

Cited By ~ 1

Author(s):

Sung Min Ban ◽

Hyung Soon Kim

Keyword(s):

Speech Recognition ◽

Spectral Subtraction ◽

Weight Space ◽

Viterbi Decoding ◽

Reverberant Speech ◽

Reverberant Speech Recognition

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Speech feature denoising and dereverberation via deep autoencoders for noisy reverberant speech recognition

2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp.2014.6853900 ◽

2014 ◽

Cited By ~ 81

Author(s):

Xue Feng ◽

Yaodong Zhang ◽

James Glass

Keyword(s):

Speech Recognition ◽

Speech Feature ◽

Reverberant Speech ◽

Reverberant Speech Recognition

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Instantaneous model adaptation method for reverberant speech recognition

Electronics Letters ◽

10.1049/el.2014.4152 ◽

2015 ◽

Vol 51 (6) ◽

pp. 528-530 ◽

Cited By ~ 2

Author(s):

Sung Min Ban ◽

Hyung Soon Kim

Keyword(s):

Speech Recognition ◽

Model Adaptation ◽

Reverberant Speech ◽

Adaptation Method ◽

Reverberant Speech Recognition

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Deep autoencoders augmented with phone-class feature for reverberant speech recognition

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

10.1109/icassp.2015.7178795 ◽

2015 ◽

Cited By ~ 9

Author(s):

Masato Mimura ◽

Shinsuke Sakai ◽

Tatsuya Kawahara

Keyword(s):

Speech Recognition ◽

Reverberant Speech ◽

Reverberant Speech Recognition

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Multi-resolution DenseNet based acoustic models for reverberant speech recognition

Phonetics and Speech Sciences ◽

10.13064/ksss.2018.10.1.033 ◽

2018 ◽

Vol 10 (1) ◽

pp. 33-38 ◽

Cited By ~ 2

Author(s):

Sunchan Park ◽

Yongwon Jeong ◽

Hyung Soon Kim

Keyword(s):

Speech Recognition ◽

Acoustic Models ◽

Reverberant Speech ◽

Reverberant Speech Recognition

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Ensemble of jointly trained deep neural network-based acoustic models for reverberant speech recognition

Digital Signal Processing ◽

10.1016/j.dsp.2018.11.005 ◽

2019 ◽

Vol 85 ◽

pp. 1-9 ◽

Cited By ~ 10

Author(s):

Moa Lee ◽

Jeehye Lee ◽

Joon-Hyuk Chang

Keyword(s):

Neural Network ◽

Speech Recognition ◽

Deep Neural Network ◽

Acoustic Models ◽

Reverberant Speech ◽

Reverberant Speech Recognition

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