On the Amount of Speech Data Necessary for Successful Speaker Identification

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F03%3A00000337" target="_blank" >RIV/49777513:23520/03:00000337 - isvavai.cz</a>

Alternative codes found

RIV/49777513:23520/03:00000074

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

On the Amount of Speech Data Necessary for Successful Speaker Identification

Original language description

The paper deals with the dependence between the speaker identification performance and the amount of test data. Three speaker identification procedures based on hidden Markov models (HMMs) of phonemes are presented here. One, which is quite commonly usedin the speaker recognition systems based on HMMs, uses the likelihood of the whole utterance for speaker identification. The other two that are proposed in this paper are based on the majority voting rule. The experiments were performed for two different situations: either both training and test data were obtained from the same channel, or they were obtained from different channels. All experiments show that the proposed speaker identification procedure based on the majority voting rule for sequences of phonemes allows us to reduce the amount of test data necessary for successful speaker identification.

Czech name

Porovnání několika procedur verifikace řečníka založených na GMM

Czech description

Článek pojednává o závislosti mezi identifikací řečníka a množstvím dat pro testování. V článku jsou prezentovány tři identifikační procedury.

Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

JD - Use of computers, robotics and its application

OECD FORD branch

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Project

<a href="/en/project/GA102%2F02%2F0124" target="_blank" >GA102/02/0124: Voice technologies for support of information society</a><br>

Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2003

Confidentiality

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

Name of the periodical

Eurospeech

ISSN

1018-4074

e-ISSN

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Volume of the periodical

2003

Issue of the periodical within the volume

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Country of publishing house

CH - SWITZERLAND

Number of pages

4

Pages from-to

3021

UT code for WoS article

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EID of the result in the Scopus database

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