ORGANIZATION OF SPEAKER SPACE BASED ON VECTOR QUANTIZATION METHOD.

Katsuhiko Shirai, Kazunori Mano, Shunichi Ishige, Koji Sano

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A method is discussed for characterizing speaker individuality that could be used for speaker adaptation for speaker-independent phoneme recognition. To represent the individual traits of speakers, a speaker space is organized using distributions in a vector-quantized space. This space includes 200 speakers, each shown as a point in it. The experimental results for 200-speaker identification with 10 input words shows performance rates of 82% in first-order and 90% in the second-order case.

Original languageEnglish
Title of host publicationProceedings - International Conference on Pattern Recognition
PublisherIEEE
Pages1152-1154
Number of pages3
ISBN (Print)0818607424
Publication statusPublished - 1986 Dec 1
Externally publishedYes

Publication series

NameProceedings - International Conference on Pattern Recognition

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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  • Cite this

    Shirai, K., Mano, K., Ishige, S., & Sano, K. (1986). ORGANIZATION OF SPEAKER SPACE BASED ON VECTOR QUANTIZATION METHOD. In Proceedings - International Conference on Pattern Recognition (pp. 1152-1154). (Proceedings - International Conference on Pattern Recognition). IEEE.