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A neural predictive hidden Markov model for...
Conference

A neural predictive hidden Markov model for speaker recognition

Abstract

An automatic speaker identification system is dereloped based on a neural predictive HMM speech recognition system. The neural predictive HMM utilises layered feed-forward neural networks to implement joint linear/nonlinear speech-frame prediction. A Markov chain is used to control changes in the network's weight parameters. The system exhibits high accuracy speaker recognition using very short speech utterances. The system was also shown to be …

Authors

Hassanein K; Deng L; Elmasry MI

Pagination

pp. 115-118

Publication Date

January 1, 2019

Conference proceedings

Esca Workshop on Automatic Speaker Recognition Identification and Verification Asriv 1994