A speaker verification system using alpha-nets
- 1 January 1991
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 397-400 vol.1
- https://doi.org/10.1109/icassp.1991.150360
Abstract
Speaker verification is performed by comparing the output probabilities of two Markov models of the same phonetic unit. One of these Markov models is speaker-specific, being built from utterances from the speaker whose identity is to be verified. The second model is built from utterances from a large population of speakers. The performance of the system is improved by treating the pair of models as a connectionist network, an alpha-net, which then allows discriminative training to be carried out. Experimental results show that adapting the spectral observation probabilities of each state of the model by the back propagation of errors can correct misclassification errors. The real-time implementation of the system produced an average digit error rate of 4.5% and only one misclassification in 600 trials using a five-digit sequence.Keywords
This publication has 8 references indexed in Scilit:
- Speaker verification over long distance telephone linesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Sub-word unit talker verification using hidden Markov modelsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Competitive training in hidden Markov models (speech recognition)Published by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- An Alphanet approach to optimising input transformations for continuous speech recognitionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1991
- Alpha-nets: A recurrent ‘neural’ network architecture with a hidden Markov model interpretationSpeech Communication, 1990
- On the use of instantaneous and transitional spectral information in speaker recognitionIEEE Transactions on Acoustics, Speech, and Signal Processing, 1988
- Maximum likelihood estimation for multivariate observations of Markov sourcesIEEE Transactions on Information Theory, 1982
- A Maximization Technique Occurring in the Statistical Analysis of Probabilistic Functions of Markov ChainsThe Annals of Mathematical Statistics, 1970