Conference paper
Sparse representation features for speech recognition
Tara N. Sainath, Bhuvana Ramabhadran, et al.
INTERSPEECH 2010
A statistical technique for vector quantizer (VQ) prototype adaptation, based on tied-mixture continuous-parameter HMM's, is derived and evaluated on the basis of experimental evidence. Performance on difficult adaptation tasks indicates that VQ-prototype adaptation via tied-mixture HMM's constitutes a useful mechanism for speaker adaptation, particularly when there are substantial channel differences or when there is a large mismatch between reference and target speaker characteristics. © 1994 IEEE
Tara N. Sainath, Bhuvana Ramabhadran, et al.
INTERSPEECH 2010
Paul A. Karger
SOUPS 2006
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Machine Vision and Applications
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ACSAC 2014