Speech recognition using thresholded speaker class model selection or model adaptation

Abraham Poovakunnel Ittycheriah; Stephane Herman Maes

doi:10.1121/1.428603

Speech recognition using thresholded speaker class model selection or model adaptation

The Journal of the Acoustical Society of America ◽

10.1121/1.428603 ◽

2000 ◽

Vol 107 (5) ◽

pp. 2324

Author(s):

Abraham Poovakunnel Ittycheriah ◽

Stephane Herman Maes

Keyword(s):

Speech Recognition ◽

Model Selection ◽

Model Adaptation ◽

Class Model

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Unsupervised Joint Estimation of Grapheme-to-Phoneme Conversion Systems and Acoustic Model Adaptation for Non-Native Speech Recognition

10.21437/interspeech.2016-919 ◽

2016 ◽

Cited By ~ 2

Author(s):

Satoshi Tsujioka ◽

Sakriani Sakti ◽

Koichiro Yoshino ◽

Graham Neubig ◽

Satoshi Nakamura

Keyword(s):

Speech Recognition ◽

Joint Estimation ◽

Acoustic Model ◽

Model Adaptation ◽

Native Speech

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Maximum likelihood model adaptation using piecewise linear transformation for robust speech recognition

2009 IEEE 13th International Symposium on Consumer Electronics ◽

10.1109/isce.2009.5156924 ◽

2009 ◽

Author(s):

Yong Lu ◽

Zhenyang Wu

Keyword(s):

Speech Recognition ◽

Maximum Likelihood ◽

Linear Transformation ◽

Piecewise Linear ◽

Robust Speech Recognition ◽

Model Adaptation ◽

Piecewise Linear Transformation ◽

Likelihood Model

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Gaussian map based acoustic model adaptation using untranscribed data for speech recognition in severely adverse environments

10.21437/interspeech.2012-481 ◽

2012 ◽

Author(s):

Wooil Kim ◽

John H. L. Hansen

Keyword(s):

Speech Recognition ◽

Acoustic Model ◽

Model Adaptation ◽

Gaussian Map ◽

Adverse Environments

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Robust Speech Recognition by Model Adaptation and Normalization Using Pre-Observed Noise

IEICE Transactions on Information and Systems ◽

10.1093/ietisy/e91-d.3.422 ◽

2008 ◽

Vol E91-D (3) ◽

pp. 422-429

Author(s):

S. KOBASHIKAWA ◽

S. TAKAHASHI

Keyword(s):

Speech Recognition ◽

Robust Speech Recognition ◽

Model Adaptation

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Prior knowledge guided maximum expected likelihood based model selection and adaptation for nonnative speech recognition

Computer Speech & Language ◽

10.1016/j.csl.2006.06.001 ◽

2007 ◽

Vol 21 (2) ◽

pp. 247-265 ◽

Cited By ~ 1

Author(s):

Xiaodong He ◽

Yunxin Zhao

Keyword(s):

Speech Recognition ◽

Model Selection ◽

Prior Knowledge

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A study on deep neural network acoustic model adaptation for robust far-field speech recognition

10.21437/interspeech.2015-525 ◽

2015 ◽

Author(s):

Seyedmahdad Mirsamadi ◽

John H. L. Hansen

Keyword(s):

Neural Network ◽

Speech Recognition ◽

Deep Neural Network ◽

Far Field ◽

Acoustic Model ◽

Model Adaptation

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Stochastic vector mapping-based feature enhancement using prior-models and model adaptation for noisy speech recognition

Speech Communication ◽

10.1016/j.specom.2008.02.002 ◽

2008 ◽

Vol 50 (6) ◽

pp. 467-475 ◽

Cited By ~ 1

Author(s):

Chia-Hsin Hsieh ◽

Chung-Hsien Wu

Keyword(s):

Speech Recognition ◽

Model Adaptation ◽

Noisy Speech ◽

Feature Enhancement ◽

Noisy Speech Recognition ◽

Stochastic Vector ◽

Prior Models ◽

Vector Mapping

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Acoustic Model Adaptation for Speech Recognition

IEICE Transactions on Information and Systems ◽

10.1587/transinf.e93.d.2348 ◽

2010 ◽

Vol E93.D (9) ◽

pp. 2348-2362 ◽

Cited By ~ 6

Author(s):

Koichi SHINODA

Keyword(s):

Speech Recognition ◽

Acoustic Model ◽

Model Adaptation

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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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Acoustic Model Adaptation Based on Pronunciation Variability Analysis for Non-Native Speech Recognition

2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings ◽

10.1109/icassp.2006.1659976 ◽

2006 ◽

Author(s):

Yoo Rhee Oh ◽

Jae Sam Yoon ◽

Hong Kook Kim

Keyword(s):

Speech Recognition ◽

Acoustic Model ◽

Model Adaptation ◽

Variability Analysis ◽

Native Speech ◽

Pronunciation Variability

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