Speaker identification based on vector quantization

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F99%3A00042221" target="_blank" >RIV/49777513:23520/99:00042221 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Speaker identification based on vector quantization

Original language description

In this paper a method of text-independent speaker recognition using discrete vector quantization is presented. The identification experiments were performed in a closed set of 599 speakers and two various types of features were tested: cepstral mean subtraction coefficients and mel-frequency cepstral coefficients. The effect of the various codebook size on the speaker identification performance was investigated.

Czech name

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Czech description

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Type

C - Chapter in a specialist book

CEP classification

JD - Use of computers, robotics and its application

OECD FORD branch

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Project

<a href="/en/project/VS97159" target="_blank" >VS97159: Center for research in the field of cybernetic systems</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

1999

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Book/collection name

Speaker identification based on vector quantization

ISBN

3540664947

Number of pages of the result

4

Pages from-to

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Number of pages of the book

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Publisher name

Springer

Place of publication

Berlin

UT code for WoS chapter

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