TECHNIQUES FOR ENHANCED AUTOMATIC SPEECH RECOGNITION
First Claim
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1. A computer-implemented method, comprising:
- generating an error correction function for an automatic speech recognition system, the error correction function representing a mapping between a supervised set of parameters and an unsupervised training set of parameters generated using a same set of acoustic training data; and
applying the error correction function to an unsupervised testing set of parameters to form a corrected set of parameters used to perform speaker adaptation.
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Abstract
Techniques for enhanced automatic speech recognition are described. An enhanced ASR system may be operative to generate an error correction function. The error correction function may represent a mapping between a supervised set of parameters and an unsupervised training set of parameters generated using a same set of acoustic training data, and apply the error correction function to an unsupervised testing set of parameters to form a corrected set of parameters used to perform speaker adaptation. Other embodiments are described and claimed.
58 Citations
20 Claims
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1. A computer-implemented method, comprising:
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generating an error correction function for an automatic speech recognition system, the error correction function representing a mapping between a supervised set of parameters and an unsupervised training set of parameters generated using a same set of acoustic training data; and applying the error correction function to an unsupervised testing set of parameters to form a corrected set of parameters used to perform speaker adaptation. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A computer-readable storage medium storing computer-executable program instructions that when executed cause a computing system to:
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generate an error correction function for an automatic speech recognition system, the error correction function representing a mapping between a supervised set of parameters and an unsupervised training set of parameters generated using a same set of acoustic training data; adapt a base acoustic model or acoustic speech data from a test speaker using the error correction function; and transcribe the acoustic speech data from the test speaker to produce speech recognition results. - View Dependent Claims (12, 13, 14, 15)
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16. A system, comprising:
an enhanced automatic speech recognition system operative to generate an error correction function, the error correction function representing a mapping between a supervised set of parameters and an unsupervised training set of parameters generated using a same set of acoustic training data, and apply the error correction function to an unsupervised testing set of parameters to form a corrected set of parameters used to perform speaker adaptation. - View Dependent Claims (17, 18, 19, 20)
Specification