Boundary estimation method of speech recognition and speech reco

Data processing: speech signal processing – linguistics – language – Speech signal processing – Recognition

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704240, G10L 506

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active

059407948

ABSTRACT:
A boundary estimation method capable of readily learning the probability of existence of a boundary in speech and a speech recognition apparatus with high precision and less model calculation. In a learning mode, an estimator estimates distributions of boundary samples and non-boundary samples. In an estimation mode, a likelihood calculator calculates a likelihood of a boundary from a boundary probability density and a non-boundary probability density. In the speech recognition apparatus, a feature extractor analyzes the input speech to convert it into feature parameters of time series, a boundary detector detects phonetic boundary equivalent areas in the input speech from the output of the feature extractor, a model calculator prepares a plurality of phonetic model series corresponding to the feature parameters and restricts a time when the boundaries of the phonetic model series are formed to the phonetic boundary equivalent areas detected by the boundary detector, and a phonetic series transform selects suitable phonetic model series corresponding to the input speech from the result of the model calculator.

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