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

摘要

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.

主权项

1. A method for adapting a model for a speech recognition system, comprising:
determining an expected response; acquiring a speech input using a speech-input device; generating a hypothesis from the speech input, the hypothesis comprising words, each word having an associated confidence factor; with an apparatus using at least one hardware-implemented processor, automatically identifying an instance of a word (i) recognized by the system within a certain confidence factor range and (ii) included in a hypothesis generated by the system that matches the expected response as a possible error; adding the identified possible error to a count of possible errors; and using the count of possible errors, adjusting the adaption of a model for the word associated with the possible error.