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

@inproceedings{2abb6b85728a4725b89d4a9f23c907f3,

title = "ORGANIZATION OF SPEAKER SPACE BASED ON VECTOR QUANTIZATION METHOD.",

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.",

author = "Katsuhiko Shirai and Kazunori Mano and Shunichi Ishige and Koji Sano",

year = "1986",

month = dec,

day = "1",

language = "English",

isbn = "0818607424",

series = "Proceedings - International Conference on Pattern Recognition",

publisher = "IEEE",

pages = "1152--1154",

booktitle = "Proceedings - International Conference on Pattern Recognition",

}

TY - GEN

T1 - ORGANIZATION OF SPEAKER SPACE BASED ON VECTOR QUANTIZATION METHOD.

AU - Shirai, Katsuhiko

AU - Mano, Kazunori

AU - Ishige, Shunichi

AU - Sano, Koji

PY - 1986/12/1

Y1 - 1986/12/1

N2 - 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.

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.

UR - http://www.scopus.com/inward/record.url?scp=0022985602&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0022985602&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:0022985602

SN - 0818607424

T3 - Proceedings - International Conference on Pattern Recognition

SP - 1152

EP - 1154

BT - Proceedings - International Conference on Pattern Recognition

PB - IEEE

ER -

ORGANIZATION OF SPEAKER SPACE BASED ON VECTOR QUANTIZATION METHOD.

Abstract

Publication series

ASJC Scopus subject areas

Other files and links

Fingerprint

Cite this