Efficient Speech Recognition with Cluster Methods
First Claim
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1. A speech recognition method, comprising the steps of:
- providing a speech model, said speech model includes at least a portion of a state of Gaussian;
clustering said Gaussian of said speech model to give N clusters of Gaussians, wherein N is an integer; and
utilizing said Gaussian in recognizing an utterance.
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Abstract
A speech recognition method and system, the method comprising the steps of providing a speech model, said speech model includes at least a portion of a state of Gaussian, clustering said Gaussian of said speech model to give N clusters of Gaussians, wherein N is an integer and utilizing said Gaussian in recognizing an utterance.
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Citations
7 Claims
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1. A speech recognition method, comprising the steps of:
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providing a speech model, said speech model includes at least a portion of a state of Gaussian; clustering said Gaussian of said speech model to give N clusters of Gaussians, wherein N is an integer; and utilizing said Gaussian in recognizing an utterance. - View Dependent Claims (2, 3, 4, 5, 6)
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7. An automatic speech recognition system, comprising:
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utterance receiving mechanism; a speech model access mechanism, said speech model includes at least a portion of a state of Gaussian; and a computer readable medium comprising computer instructions that, when executed by a processor, causes the processor to perform a method comprising; clustering said Gaussian of said speech model, retrieved view said speech model access mechanism, to give N clusters of Gaussian, wherein N is an integer; and utilizing said Gaussian in recognizing said utterance, from said utterance receiving mechanism.
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Specification