Method and apparatus for predicting word error rates from text
AssigneeMicrosoft Corporation
InventorsMilind Mahajan, Yonggang Deng, Alejandro Acero, Asela J. R. Gunawardana, Ciprian Chelba
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Abstract
A method of modeling a speech recognition system includes decoding a speech signal produced from a training text to produce a sequence of predicted speech units. The training text comprises a sequence of actual speech units that is used with the sequence of predicted speech units to form a confusion model. In further embodiments, the confusion model is used to decode a text to identify an error rate that would be expected if the speech recognition system decoded speech based on the text.
Claims10
A computer-readable medium having computer-executable instructions for performing steps comprising:
- decoding a test text comprising actual sequences of speech units to produce sequences of predicted speech units using a confusion model that provides likelihoods for sequences of predicted speech units given sequences of actual speech units, wherein the confusion model comprises a set of rules, each rule providing a conversion from an actual speech unit into at least one predicted speech unit and a probability of performing such a conversion;
- and
- determining an error rate based on a sequence of predicted speech units and the sequence of actual speech units.
Dependencies are inferred from the claim text.