Method and apparatus for training an automated speech recognition-based system
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United States of America Patent
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Mar 18, 2008
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N/A
app pub date -
Jun 4, 2003
filing date -
Jun 5, 2002
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Abstract
A method and apparatus for building a training set for an automated speech recognition-based system, which determines the statistically optimal number of frequently requested responses to automate in order to achieve a desired automation rate. The invention may be used to select the appropriate tokens and responses to train the system and to achieve a desired 'phrase coverage' for all of the many different ways human beings may phrase a request that calls for one of a plurality of frequently-requested responses. The invention also determines the statistically optimal number of tokens (spoken requests) required to train a speech recognition-based system to achieve the desired phrase coverage and optimal allocation of tokens over the set of responses that are to be automated.
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