Methods and systems for adapting a model for a speech recognition system

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.

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.

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.

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.

A method for adapting a model for a speech recognition system comprising:

• 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.

An apparatus for model adaptation for a speech recognition system comprising:

• 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.

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.

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.

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.

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.

An apparatus for adapting a model for a speech recognition system comprising:

• 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.