Unsupervised HMM adaptation based on speech-silence discriminati

Details Unsupervised HMM adaptation based on speech-silence discriminati Unsupervised HMM adaptation based on speech-silence discriminati

1997-05-21

2000-06-13

Voeltz, Emanuel Todd

Data processing: speech signal processing, linguistics, language

Speech signal processing

Recognition

704233, G10L 506

Patent

active

060760575

ABSTRACT:
An unsupervised, discriminative, sentence level, HMM adaptation based on speech-silence classification is presented. Silence and speech regions are determined either using a speech end-pointer or the segmentation obtained from the recognizer in a first pass. The discriminative training procedure using a GPD or any other discriminative training algorithm, employed in conjunction with the HMM-based recognizer, is then used to increase the discrimination between silence and speech.

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