METHODS AND SYSTEMS FOR ADAPTING A MODEL FOR A SPEECH RECOGNITION SYSTEM
First Claim
1. A method for identifying a possible error made by a speech recognition system, comprising:
- identifying an instance of a word that was recognized by the system within a certain confidence factor range.
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Abstract
Methods are disclosed for identifying possible errors made by a speech recognition system without using a transcript of words input to the system. A method for model adaptation for a speech recognition system includes determining an error rate, corresponding to either recognition of instances of a word or recognition of instances of various words, without using a transcript of words input to the system. The method may further include adjusting an adaptation, of the model for the word or various models for the various words, based on the error rate. Apparatus are disclosed for identifying possible errors made by a speech recognition system without using a transcript of words input to the system. An apparatus for model adaptation for a speech recognition system includes a processor adapted to estimate an error rate, corresponding to either recognition of instances of a word or recognition of instances of various words, without using a transcript of words input to the system. The apparatus may further include a controller adapted to adjust an adaptation of the model for the word or various models for the various words, based on the error rate.
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Citations
15 Claims
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1. A method for identifying a possible error made by a speech recognition system, comprising:
identifying an instance of a word that was recognized by the system within a certain confidence factor range. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. An apparatus for identifying a possible error made by a speech recognition system, comprising:
a. a processor adapted to identify an instance of a word that was recognized by the system within a certain confidence factor range. - View Dependent Claims (9, 10, 11, 12, 13, 14, 15)
Specification