Maximum conditional likelihood linear regression and maximum a posteriori for hidden conditional random fields speaker adaptation

ICASSP, pp. 4293-4296, 2008.

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Abstract:

This paper shows how to improve Hidden Conditional Random Fields (HCRFs) for phone classification by applying various speaker adaptation techniques. These include Maximum A Posteriori (MAP) adaptation as well as a new technique we introduce called Maximum Conditional Likelihood Linear Regression (MCLLR), a discrimina- tive variant of the ...More

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