System and method for adaptive automatic error correction

A method for adaptive automatic error and mismatch correction in a speech recognition system having an automatic error and mismatch correction module, an automatic error and mismatch correction model, and a classifier module, the method comprising the steps of:

• receiving a string of interpreted speech into the automatic error and mismatch correction module;
• identifying target tokens in said string of interpreted speech;
• creating a set of classifier features according to requirements of the automatic error and mismatch correction model;
• comparing said target tokens against said classifier features to detect errors and mismatches;
• and
• modifying said string of interpreted speech based upon said classifier features.

A method for adaptive automatic error and mismatch correction in a speech recognition system comprising the steps of:

• receiving a string of interpreted speech;
• receiving a corresponding string of the final, edited form of the interpreted speech;
• comparing the two received strings;
• identifying mismatching target tokens in said string of interpreted speech and their corresponding targets in the final edited form of the interpreted speech;
• creating patterns or rules consisting of source patterns in the first string and re-write patterns in the second string.
• creating a set of classifier features;
• evaluating the performance of the patterns or rules by determining the effectiveness or success of classifiers in identifying correct and incorrect patterns in interpreted speech;
• and
• creating classifiers based on the effective or successful patterns or rules.