Automating tuning of speech recognition systems
First Claim
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1. A speech recognition system, comprising:
- at least one recognizer to produce output signals from audio input signals based at least in part on speech models and a grammar file, the grammar file including at least one command syntax;
a feedback module to generate feedback data, the feedback module modifying the speech models and the grammar file based on the feedback data to improve the performance of the at least one recognizer; and
a controller adaptable to select one recognizer based at least in part on the feedback data from the at least one recognizer for an input utterance, the selected recognizer performing most accurately for the input utterance among the at least one recognizer.
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Abstract
Embodiments of a speech recognition system are disclosed. The system includes at least one recognizer to produce output signals from audio input signals and a feedback module to collect feedback data generated from conversion of the audio input signals to output signals. The system stores the feedback data and may also be adapted to use the feedback data as part of a training set for recognizers in the system, as part of a predictive mechanism, or both.
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7 Claims
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1. A speech recognition system, comprising:
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at least one recognizer to produce output signals from audio input signals based at least in part on speech models and a grammar file, the grammar file including at least one command syntax; a feedback module to generate feedback data, the feedback module modifying the speech models and the grammar file based on the feedback data to improve the performance of the at least one recognizer; and a controller adaptable to select one recognizer based at least in part on the feedback data from the at least one recognizer for an input utterance, the selected recognizer performing most accurately for the input utterance among the at least one recognizer. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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Specification