Methods and systems for identifying errors in a speech recognition system
First Claim
1. A method for identifying a possible error made by a speech recognition system comprising:
- with an apparatus using at least one hardware-implemented processor, identifying when a hypothesis generated by the speech recognition system does not match an expected response word-for-word, but the hypothesis mostly matches the expected response word-for-word;
with the apparatus using the at least one hardware-implemented processor, identifying an instance where the speech recognition system rejects a first hypothesis of a first utterance received from a user, followed by the speech recognition system accepting a second hypothesis of a second utterance received from the user, wherein the first and second hypotheses substantially match word-for-word;
with the apparatus using the at least one hardware-implemented processor, incrementing a count of an occurrence of a possible error made by the speech recognition system; and
with the apparatus using the at least one hardware-implemented processor, adjusting an adaptation of a model used by the speech recognition system for a word associated with the possible error when the count exceeds an acceptance threshold.
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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
17 Claims
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1. A method for identifying a possible error made by a speech recognition system comprising:
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with an apparatus using at least one hardware-implemented processor, identifying when a hypothesis generated by the speech recognition system does not match an expected response word-for-word, but the hypothesis mostly matches the expected response word-for-word; with the apparatus using the at least one hardware-implemented processor, identifying an instance where the speech recognition system rejects a first hypothesis of a first utterance received from a user, followed by the speech recognition system accepting a second hypothesis of a second utterance received from the user, wherein the first and second hypotheses substantially match word-for-word; with the apparatus using the at least one hardware-implemented processor, incrementing a count of an occurrence of a possible error made by the speech recognition system; and with the apparatus using the at least one hardware-implemented processor, adjusting an adaptation of a model used by the speech recognition system for a word associated with the possible error when the count exceeds an acceptance threshold. - View Dependent Claims (2, 3, 4, 5, 6)
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7. A method for identifying a possible error made by a speech recognition system comprising:
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with an apparatus using at least one hardware-implemented processor, identifying when a hypothesis generated by the speech recognition system does not match an expected response word-for-word, but the hypothesis mostly matches the expected response word-for-word; with the apparatus using the at least one hardware-implemented processor, identifying when the speech recognition system generates a first hypothesis and a second hypothesis of two utterances received from a user and the speech recognition system accepts the second hypothesis, wherein the first hypothesis and the second hypothesis do not match word-for-word, but the first hypothesis and the second hypothesis mostly match word-for-word; with the apparatus using the at least one hardware-implemented processor, incrementing a count of an occurrence of a possible error made by the speech recognition system; and with the apparatus using the at least one hardware-implemented processor, adjusting an adaptation of a model used by the speech recognition system for a word associated with the possible error when the count exceeds an acceptance threshold. - View Dependent Claims (8, 9, 10, 11, 12, 13)
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14. An apparatus for identifying a possible error made by a speech recognition system comprising:
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a processor that is operable to; identify when a hypothesis generated by the speech recognition system does not match an expected response word-for-word, but the hypothesis mostly matches the expected response word-for-word; identify an instance where the speech recognition system rejects a first hypothesis of a first utterance received from a user, followed by the speech recognition system accepting a second hypothesis of a second utterance received from the user, wherein the first hypothesis and the second hypothesis substantially match word-for-word; incrementing a count of an occurrence of a possible error made by the speech recognition system; and adjusting an adaptation of a model used by the speech recognition system for a word associated with the possible error when the count exceeds an acceptance threshold. - View Dependent Claims (15, 16, 17)
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Specification