ORGANIZATION OF SPEAKER SPACE BASED ON VECTOR QUANTIZATION METHOD.

Katsuhiko Shirai; Kazunori Mano; Shunichi Ishige; Koji Sano

ORGANIZATION OF SPEAKER SPACE BASED ON VECTOR QUANTIZATION METHOD.

Katsuhiko Shirai, Kazunori Mano, Shunichi Ishige, Koji Sano

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	Proceedings - International Conference on Pattern Recognition
Publisher	IEEE
Pages	1152-1154
Number of pages	3
ISBN (Print)	0818607424
Publication status	Published - 1986 Dec 1
Externally published	Yes

Publication series

Name	Proceedings - International Conference on Pattern Recognition

ASJC Scopus subject areas

Computer Vision and Pattern Recognition

Cite this

ORGANIZATION OF SPEAKER SPACE BASED ON VECTOR QUANTIZATION METHOD. / Shirai, Katsuhiko; Mano, Kazunori; Ishige, Shunichi; Sano, Koji.

Proceedings - International Conference on Pattern Recognition. IEEE, 1986. p. 1152-1154 (Proceedings - International Conference on Pattern Recognition).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - 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.

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ORGANIZATION OF SPEAKER SPACE BASED ON VECTOR QUANTIZATION METHOD.

Abstract

Publication series

ASJC Scopus subject areas

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