Maximum Likelihood Linear Regression (MLLR) for ASR Severity Based Adaptation to Help Dysarthric Speakers

International Journal of Simulation Systems Science & Technology ◽

10.5013/ijssst.a.15.06.08 ◽

2020 ◽

Author(s):

Bassam Ali Qasem Al-Qatab ◽

Mumtaz Mustafa ◽

Siti Salwa Salim

Keyword(s):

Maximum Likelihood ◽

Linear Regression ◽

Maximum Likelihood Linear Regression

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Adaptive training with noisy constrained maximum likelihood linear regression for noise robust speech recognition

10.21437/interspeech.2009-364 ◽

2009 ◽

Author(s):

D. K. Kim ◽

M. J. F. Gales

Keyword(s):

Speech Recognition ◽

Maximum Likelihood ◽

Linear Regression ◽

Robust Speech Recognition ◽

Adaptive Training ◽

Noise Robust Speech Recognition ◽

Noise Robust ◽

Constrained Maximum Likelihood ◽

Maximum Likelihood Linear Regression

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Speech recognition in a reverberant environment using matched filter array (MFA) processing and linguistic-tree maximum likelihood linear regression (LT-MLLR) adaptation

1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258) ◽

10.1109/icassp.1999.759785 ◽

1999 ◽

Author(s):

P. Raghavan ◽

R.J. Renomeron ◽

C. Che ◽

D.-S. Yuk ◽

J.L. Flanagan

Keyword(s):

Speech Recognition ◽

Maximum Likelihood ◽

Linear Regression ◽

Matched Filter ◽

Filter Array ◽

Reverberant Environment ◽

Maximum Likelihood Linear Regression

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Bilinear transformation space-based maximum likelihood linear regression frameworks

10.21437/interspeech.2009-197 ◽

2009 ◽

Author(s):

Hwa Jeon Song ◽

Yongwon Jeong ◽

Hyung Soon Kim

Keyword(s):

Maximum Likelihood ◽

Linear Regression ◽

Bilinear Transformation ◽

Maximum Likelihood Linear Regression ◽

Transformation Space

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Regularized constrained maximum likelihood linear regression for speech recognition

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

10.1109/icassp.2014.6854820 ◽

2014 ◽

Author(s):

Sina Hamidi Ghalehjegh ◽

Richard C. Rose

Keyword(s):

Speech Recognition ◽

Maximum Likelihood ◽

Linear Regression ◽

Constrained Maximum Likelihood ◽

Maximum Likelihood Linear Regression

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Lattice-based unsupervised maximum likelihood linear regression for speaker adaptation

The Journal of the Acoustical Society of America ◽

10.1121/1.3047460 ◽

2008 ◽

Vol 124 (6) ◽

pp. 3373

Author(s):

Mukund Padmanabhan

Keyword(s):

Maximum Likelihood ◽

Linear Regression ◽

Maximum Likelihood Linear Regression

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Environment adaptation for robust speaker verification by cascading maximum likelihood linear regression and reinforced learning

Computer Speech & Language ◽

10.1016/j.csl.2006.05.001 ◽

2007 ◽

Vol 21 (2) ◽

pp. 231-246 ◽

Author(s):

K.K. Yiu ◽

M.W. Mak ◽

S.Y. Kung

Keyword(s):

Maximum Likelihood ◽

Linear Regression ◽

Speaker Verification ◽

Environment Adaptation ◽

Reinforced Learning ◽

Maximum Likelihood Linear Regression

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Speaker adaptation of stochastic segment models using Maximum Likelihood Linear Regression

2010 7th International Symposium on Chinese Spoken Language Processing ◽

10.1109/iscslp.2010.5684836 ◽

2010 ◽

Author(s):

Hao Chao ◽

Wen-ju Liu

Keyword(s):

Maximum Likelihood ◽

Linear Regression ◽

Maximum Likelihood Linear Regression

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Speech recognition in a reverberant environment using matched filter array processing and linguistic‐tree maximum likelihood linear regression adaptation

The Journal of the Acoustical Society of America ◽

10.1121/1.423449 ◽

1998 ◽

Vol 104 (3) ◽

pp. 1819-1819 ◽

Author(s):

Prabhu Raghavan ◽

Richard J. Renomeron ◽

ChiWei Che ◽

Samir Chenoukh ◽

Dong‐Suk Yuk ◽

...

Keyword(s):

Speech Recognition ◽

Maximum Likelihood ◽

Linear Regression ◽

Array Processing ◽

Matched Filter ◽

Filter Array ◽

Reverberant Environment ◽

Maximum Likelihood Linear Regression

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Regularized Maximum Likelihood Linear Regression Adaptation for Computer-Assisted Language Learning Systems

IEICE Transactions on Information and Systems ◽

10.1587/transinf.e94.d.308 ◽

2011 ◽

Vol E94-D (2) ◽

pp. 308-316 ◽

Author(s):

Dean LUO ◽

Yu QIAO ◽

Nobuaki MINEMATSU ◽

Keikichi HIROSE

Keyword(s):

Maximum Likelihood ◽

Linear Regression ◽

Language Learning ◽

Learning Systems ◽

Computer Assisted ◽

Computer Assisted Language Learning ◽

Maximum Likelihood Linear Regression

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Noisy Constrained Maximum-Likelihood Linear Regression for Noise-Robust Speech Recognition

IEEE Transactions on Audio Speech and Language Processing ◽

10.1109/tasl.2010.2047756 ◽

2011 ◽

Vol 19 (2) ◽

pp. 315-325 ◽

Author(s):

D. K. Kim ◽

M. J. F. Gales

Keyword(s):

Speech Recognition ◽

Maximum Likelihood ◽

Linear Regression ◽

Robust Speech Recognition ◽

Noise Robust Speech Recognition ◽

Noise Robust ◽

Constrained Maximum Likelihood ◽

Maximum Likelihood Linear Regression

Download Full-text