Speech recognition combining dynamic programming and neural netw

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395 25, G10L 500

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active

057580219

ABSTRACT:
Recognition of speech with successive expansion of a reference vocabulary, can be used for automatic telephone dialing by voice input. Neural and conventional recognition methods are performed in parallel so that during training and configuration of the neural network, a conventional recognizer operating according to the dynamic programming principle has available newly added word patterns as references for immediate use in recognition. Upon completion of the training and configuration, the neural network takes over the recognition of the now expanded vocabulary.

REFERENCES:
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patent: 5005203 (1991-04-01), Ney
patent: 5058166 (1991-10-01), Ney et al.
Krause et al., "Scaly Artificial Neural Networks for Speaker-Independent Recognition of Isolated Words, " IEEE Proceedings of ICASSP 1989, Glasgow, UK, 4 pages.
Ney, "The Use of a One-Stage Dynamic Programming Algorithm for Connected Word Recognition, " IEEE Transactions on Acoustics, Speech, and Signal Processing, vol. ASSP-32, No. 2, Apr. 1984, pp. 263-271.
Sakoe et al., "Dynamic Programming Algorithm Optimization for Spoken Word Recognition, " IEEE Transactions on Acoustics, Speech, and Signal Processing , vol. ASSP-26, No. 1, Feb. 1978, pp. 43-49.
Tom et al., "Short Utterance Recognition Using a Network With Minimum Training, " 8343 Neural Networks, 4 (1991) , No. 6, Pergamon Press, pp. 711-722.
Bourlard et al., "Mering Multilayer Perceptions and Hidden Markov Modeles: Some Experiments in Continuous Speech Recognition, " Int'l Computer Science Institute, Jul. 1989, pp. 1-18.

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