A new method of text-independent speaker recognition

Text-independent speaker recognition methods have been based on measurements of long-term statistics of individual speech frames. These methods are not capable of modeling speaker-dependent speech dynamics. In this paper, we describe a new method, based on template matching, that utilizes temporal information to advantage. The template-matching method performs text-dependent recognition as a special case. Performance of the template-matching method is compared with that of similar recently-developed methods.

[1]  D. Burton.  Applying matrix quantization to isolated word recognition , 1985, ICASSP '85. IEEE International Conference on Acoustics, Speech, and Signal Processing.

[2]  Edwin H. Wrench.  A realtime implementation of a text independent speaker recognition system , 1981, ICASSP.

[3]  A. Gray,et al.  Long-term feature averaging for speaker recognition , 1977 .

[4]  R. Wohlford,et al.  Keyword recognition using template concatenation , 1985, ICASSP '85. IEEE International Conference on Acoustics, Speech, and Signal Processing.

[5]  Biing-Hwang Juang,et al.  A vector quantization approach to speaker recognition , 1985, ICASSP '85. IEEE International Conference on Acoustics, Speech, and Signal Processing.