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