Methods and apparatus for discriminative training and adaptation

Details Methods and apparatus for discriminative training and adaptation Methods and apparatus for discriminative training and adaptation

1998-05-21

2000-06-13

Hudspeth, David R.

Data processing: speech signal processing, linguistics, language

Speech signal processing

Recognition

704243, 704255, G01L 506

Patent

active

060760532

ABSTRACT:
A speech recognition method comprises the steps of using given speech data and the N-best algorithm to generate alternative pronunciations and then merging the obtained pronunciations into a pronunciation networks structure; using additional parameters to characterize a pronunciation network for a particular word; optimizing the parameters of the pronunciation networks using a minimum classification error criterion that maximizes a discrimination between different pronunciation networks; and adapting parameters of the pronunciation networks by, first, adjusting probabilities of the possible pronunciations that may be generated by the pronunciation network for a word claimed to be a true one and, second, to correct weights for all of the pronunciation networks by using the adjusted probabilities.

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Chou et al., "Minimum error rate training based on N-best string models," IEEE International Conference on Acoustics, Speech, and Signal Processing, vol. 2, pp. 652 to 655, Apr. 1993.

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