Speech recognition system with neural network

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G10L 900

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active

054044227

ABSTRACT:
A voice recognition apparatus capable of recognizing any word utterance by using a neural network, the apparatus includes a unit for inputting an input utterance and for outputting compressed feature variables of the input utterance a unit using a neural network and connected to the input unit for receiving the compressed feature variables output from the input unit and for outputting a value corresponding to a similarity between the input utterance and words to be recognized. The neural network unit has a first unit for outputting a value which corresponds to a similarity in partial phoneme series of a specific word among vocabularies to be recognized with respect to the input utterance. The neural network also has a second unit connected to the first unit for receiving all of the values output from the first unit and for outputting a value corresponding to a similarity in the specific word with respect to the input utterance. And the neural network also has a third unit connected to the second unit for receiving all of the values output from the second unit and for outputting a value corresponding to a classification of voice recognition in which the input utterance belongs.

REFERENCES:
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patent: 4975961 (1990-12-01), Sakoe
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Waibel et al., "Phoneme Recognition using Time-Delay Neural Networks", 8084 IEEE Trans. on Acoustics, Speech etc. 37 (1989) Mar. No. 3, pp. 328-339.
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Lubensky, "Learning Spectral-Temporal Dependencies Using Connectionist Networks", IEEE, 1988, pp. 418-421.
Hirai et al., "Phoneme-based Word Recognition by Neural network A Step Toward Large Vocabulary Recognition", IJNN International Joint Conference on Neural Networks, Catalog No. 90Ch2879-5 Jun. 17-21, 1990, pp. 671-676.
Waibel, Alex, "Phoneme Recognition Using Time-Delay Neural Networks" IEICE Technical Report, SP87-100, 1987-12, pp. 19-24.
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Mori, Yoshihiro, "Aiming At A Large Scale Neural Network" IEICE Technical Report, PRU 88-59, 1987, pp. 87-94.

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