Method and apparatus for predicting word error rates from text
First Claim
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1. A method of modeling a speech recognition system, the method comprising:
- decoding a speech signal produced from a training text, the training text comprising a sequence of actual speech units to produce a sequence of predicted speech units;
constructing a confusion model based on the sequence of actual speech units and the sequence of predicted speech units; and
decoding a test text using the confusion model and a language model to generate at least one model-predicted sequence of speech units.
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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.
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9 Claims
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1. A method of modeling a speech recognition system, the method comprising:
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decoding a speech signal produced from a training text, the training text comprising a sequence of actual speech units to produce a sequence of predicted speech units;
constructing a confusion model based on the sequence of actual speech units and the sequence of predicted speech units; and
decoding a test text using the confusion model and a language model to generate at least one model-predicted sequence of speech units. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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