Methods and systems for optimizing model adaptation for a speech recognition system

A method for efficient use of resources of a speech recognition system, comprising:

• using a recognition rate threshold and a desired confidence level of a recognition rate upon which to base adaptation of a model;
• determining a recognition rate;
• determining an accuracy range of the recognition rate corresponding to the desired confidence level, the accuracy range related to a number of observations;
• using a relationship between the recognition rate threshold, the recognition rate and the number of observations, which balances the accuracy of the recognition rate with expediency in making a model adaptation decision;
• and
• basing a decision for model adaptation on using the relationship.

A method for efficient use of resources of a speech recognition system comprising:

• determining a recognition rate, corresponding to either recognition of instances of a word or recognition of instances of various words among a set of words;
• determining an accuracy range of the recognition rate;
• and
• adjusting adaptation, of a model for the word or various models for the various words, based on at least one value in the accuracy range being equal to a recognition rate threshold, or based on at least one value in the accuracy range exceeding a recognition rate threshold if the recognition rate is an error rate, or based on at least one value in the accuracy range being below the recognition rate threshold if the recognition rate is an accuracy rate.

A apparatus for efficient use of resources of a speech recognition system, comprising:

• a selector adapted to use a recognition rate threshold and a desired confidence level of a recognition rate, upon which to base adaptation of a model;
• a processor adapted to determine a recognition rate and an accuracy range of the recognition rate corresponding to the desired confidence level, the accuracy range related to a number of observations;
• and
• a controller adapted to use a relationship between the recognition rate threshold, the recognition rate and the number of observations, which balances the accuracy of the recognition rate with expediency in making a model adaptation decision and base a decision for model adaptation on using the relationship.