Unsupervised HMM adaptation based on speech-silence discrimination
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United States of America Patent
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Jun 13, 2000
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app pub date -
May 21, 1997
filing date -
May 21, 1997
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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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