Generating a task-adapted acoustic model from one or more supervised and/or unsupervised corpora
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United States of America Patent
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Apr 18, 2006
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app pub date -
Mar 20, 2002
filing date -
Mar 20, 2002
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Abstract
Unsupervised speech data is provided to a speech recognizer that recognizes the speech data and outputs a recognition result along with a confidence measure for each recognized word. A task-related acoustic model is generated based on the recognition result, the speech data and the confidence measure. Additional task independent model can be used. The speech data can be weighted by the confidence measure in generating the acoustic model so that only data that has been recognized with a high degree of confidence will weigh heavily in generation of the acoustic model. The acoustic model can be formed from a Gaussian mean and variance of the data.
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