Training Partially Recurrent Neural Networks Using Evolutionary Strategies

IEEE Transactions on Speech and Audio Processing

Volumn 5, Issue 2, 1997, Pages 192-194

  Greenwood, Garrison W ^a  

^a Parkview Campus   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BACKPROPAGATION; LEARNING ALGORITHMS; OPTIMIZATION; RANDOM PROCESSES; SPEECH RECOGNITION;

EVOLUTIONARY STRATEGIES (ES); STOCHASTIC OPTIMIZATION ALGORITHMS; VISEME SETS;

NEURAL NETWORKS;

EID: 0031103717     PISSN: 10636676     EISSN: None     Source Type: Journal    
DOI: 10.1109/89.554781     Document Type: Article

References (10)

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3. D. Fogel, Evolutionary Computation. Piscataway, NJ: IEEE Press, 1995.
4. R. P. Slager, "Apparatus for generating from an audio signal a moving visual lip image from which a speech content of the signal can be comprehended by a lipreader," U.S. Patent 5,313,522, May 17, 1994.
5. R. Anand, K. Mehrotra, C. K. Mohan, and S. Ranka, "Efficient classification for multiclass problems using modular neural networks," IEEE Trans. Neural Networks, vol. 6, pp. 117-124, Jan. 1995.
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8. DARPA TIM1T Acoustic-Phonetic Continuous Speech Corpus, NIST Speech Disc 1-1.1, U.S. Dept. Commerce.
9. T. Grossman and A. Lapedes, "Noise sensitivity signatures for model selection," Tech. Rep. 95-02-018, Santa Fe Inst., Santa Fe, NM, 1995.
10. T. Back, F. Hoffmeister, and H. P. Schwefel, "A survey of evolution strategies," in Proc. 4lh Int. Conf. Genetic Algorithms, 1991, pp. 2-9.