Methods and systems for adapting a model for a speech recognition system
First Claim
1. A method for model adaptation for a speech recognition system comprising:
- determining an error rate, corresponding to either recognition of instances of a word or recognition of instances of various words among a set of words; and
adjusting an adaptation of a model for the word or various models for the various words, based on the error rate.
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Accused Products
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
84 Claims
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1. A method for model adaptation for a speech recognition system comprising:
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determining an error rate, corresponding to either recognition of instances of a word or recognition of instances of various words among a set of words; and
adjusting an adaptation of a model for the word or various models for the various words, based on the error rate. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
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13. 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 (14, 15, 16, 17, 18, 19)
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20. A method for identifying a possible error made by a speech recognition system comprising:
identifying an instance where the system rejects a first hypothesis of a first utterance, followed by the system accepting a second hypothesis of a second utterance, wherein the first and second hypotheses substantially match word-for-word. - View Dependent Claims (21, 22, 23, 24, 25)
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26. A method for identifying a possible error made by a speech recognition system comprising:
identifying when the system generates first and second hypotheses of two utterances and the system accepts the second hypothesis, wherein the two hypotheses do not match word-for-word, but the hypotheses mostly match word-for-word. - View Dependent Claims (27, 28, 29, 30, 31, 32)
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33. A method for identifying a possible error made by a speech recognition system, comprising:
identifying when a hypothesis generated by the system does not match an expected response word-for-word, but the hypothesis mostly matches the expected response word-for-word. - View Dependent Claims (34, 35)
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36. A method for adapting a model for a speech recognition system comprising:
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generating a count of occurrences of when a user provides feedback to the system; and
adjusting an adaptation of the model based on the count. - View Dependent Claims (37, 38, 39, 40, 41)
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42. An apparatus for model adaptation for a speech recognition system comprising:
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a processor adapted to determine an error rate, corresponding to either recognition of instances of a word or recognition of instances of various words among a set of words; and
a controller adapted to adjust an adaptation of a model for the word or various models for the various words, based on the error rate. - View Dependent Claims (43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53)
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54. An apparatus for identifying a possible error made by a speech recognition system, comprising:
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 (55, 56, 57, 58, 59, 60, 61)
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62. An apparatus for identifying a possible error made by a speech recognition system comprising:
a processor adapted to identify an instance where the system rejects a first hypothesis of a first utterance, followed by the system accepting a second hypothesis of a second utterance, wherein the first and second hypotheses substantially match word-for-word. - View Dependent Claims (63, 64, 65, 66, 67)
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68. An apparatus for identifying a possible error made by a speech recognition system comprising:
a processor adapted to identify when the system generates first and second hypotheses of two utterances and the system accepts the second hypothesis, wherein the two hypotheses do not match word-for-word, but the hypotheses mostly match word-for-word. - View Dependent Claims (69, 70, 71, 72, 73, 74)
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75. An apparatus for identifying a possible error rate made by a speech recognition system, comprising:
a processor adapted to identify when a hypothesis generated by the system does not match an expected response word-for-word, but the hypothesis mostly matches the expected response word-for-word. - View Dependent Claims (76, 77)
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78. An apparatus for adapting a model for a speech recognition system comprising:
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a processor adapted to generate a count of occurrences of when a user provides feedback to the system; and
a controller adapted to adjust an adaptation of the model based on the count. - View Dependent Claims (79, 80, 81, 82, 83, 84)
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Specification