Speech recognizer having a speech data memory storing speech dat

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

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704251, G10L 506

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active

059566779

ABSTRACT:
A speech recognizer includes a feature extracting unit for analyzing an input speech to extract a feature vector of the input speech. A speech data memory stores speech data and symbol trains of the input speech. A reference pattern memory stores sets each of a given partial symbol train of a word presented for recognition and an index of speech data with the expression thereof containing the partial symbol train in the speech data memory. A distance calculating unit reads out speech data corresponding to a partial symbol train stored in the reference pattern memory from the speech data memory, and calculates a distance between the partial symbol train read out from the reference pattern memory and a particular section of the input speech. A pattern matching unit derives, with respect to each word presented for recognition, a division of the subject word interval which minimizes the sum of distances of the input speech sections over an entire word interval. A recognition result calculating unit outputs, as a recognition result, a word presented for recognition, which gives the minimum one of the distances between the input speech data output of the pattern matching unit and all the words presented for recognition.

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K. Lee, "Context-Dependent Phonetic Hidden Markov Models for Speaker-Independent Continuous Speech Recognition," IEEE Transactions on Acoustics, Speech and Signal Processing, vol. 38, No. 4, Apr. 1994, pp. 599-609.

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