Acoustic model adaptation via Linear Spline Interpolation for robust speech recognition

2010 IEEE International Conference on Acoustics, Speech and Signal Processing ◽

10.1109/icassp.2010.5495581 ◽

2010 ◽

Author(s):

Michael L. Seltzer ◽

Alex Acero ◽

Kaustubh Kalgaonkar

Keyword(s):

Speech Recognition ◽

Spline Interpolation ◽

Robust Speech Recognition ◽

Acoustic Model ◽

Model Adaptation ◽

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HMM adaptation using linear spline interpolation with integrated spline parameter training for robust speech recognition

10.21437/interspeech.2010-480 ◽

2010 ◽

Author(s):

Michael L. Seltzer ◽

Alex Acero

Keyword(s):

Speech Recognition ◽

Spline Interpolation ◽

Robust Speech Recognition ◽

Linear Spline ◽

Spline Parameter

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Noise Robust Speech Recognition Based on Noisy Speech Acoustic Model Adaptation

Phonetics and Speech Sciences ◽

10.13064/ksss.2014.6.2.029 ◽

2014 ◽

Vol 6 (2) ◽

pp. 29-34

Author(s):

Yongjoo Chung

Keyword(s):

Speech Recognition ◽

Robust Speech Recognition ◽

Acoustic Model ◽

Model Adaptation ◽

Noisy Speech ◽

Noise Robust Speech Recognition ◽

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Unsupervised Data-Driven Feature Vector Normalization With Acoustic Model Adaptation for Robust Speech Recognition

IEEE Transactions on Audio Speech and Language Processing ◽

10.1109/tasl.2009.2026441 ◽

2010 ◽

Vol 18 (2) ◽

pp. 296-309 ◽

Author(s):

L. Buera ◽

A. Miguel ◽

O. Saz ◽

A. Ortega ◽

E. Lleida

Keyword(s):

Speech Recognition ◽

Feature Vector ◽

Data Driven ◽

Robust Speech Recognition ◽

Acoustic Model ◽

Model Adaptation

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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 ◽

Author(s):

Satoshi Tsujioka ◽

Sakriani Sakti ◽

Koichiro Yoshino ◽

Graham Neubig ◽

Satoshi Nakamura

Keyword(s):

Speech Recognition ◽

Joint Estimation ◽

Acoustic Model ◽

Model Adaptation ◽

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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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On the jointly unsupervised feature vector normalization and acoustic model compensation for robust speech recognition

10.21437/interspeech.2007-100 ◽

2007 ◽

Author(s):

Luis Buera ◽

Antonio Miguel ◽

Eduardo Lleida ◽

Óscar Saz ◽

Alfonso Ortega

Keyword(s):

Speech Recognition ◽

Feature Vector ◽

Robust Speech Recognition ◽

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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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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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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 ◽

Author(s):

Koichi SHINODA

Keyword(s):

Speech Recognition ◽

Acoustic Model ◽

Model Adaptation

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