Patent ID: 9653066
Date: 2017-05-16
CPC Classifications: G10L

Claim:
1. A method comprising: receiving an N-best list of speech recognition hypotheses from a speech utterance, wherein the N-best list of speech recognition hypotheses comprises words recognized from the speech utterance; receiving an acoustic score of each word in the N-best list of speech recognition hypotheses; receiving a count indicating a number of words associated with each hypothesis in the speech recognition hypotheses; receiving an indication of problematic words in the each hypothesis in the N-best list of speech recognition hypotheses, wherein the indication is determined by a reliability estimator; determining, via a processor and based on a feature set evaluated by an algorithm, a first probability of correctness for the each hypothesis in the N-best list of speech recognition hypotheses, the feature set evaluated by the algorithm comprising the count, the acoustic score, and the indication of problematic words; determining, via the processor, a second probability that the N-best list of speech recognition hypotheses does not contain a correct hypothesis using the reliability estimator; and using the first probability and the second probability in a spoken dialog.