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On the amount of speech data necessary for successful speaker identification

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F03%3A00000154" target="_blank" >RIV/49777513:23520/03:00000154 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • 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 us ed in 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 diff erent 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 sequen ces of phonemes allows us to reduce the amount of test data necessary for successful speaker identification.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JD - Use of computers, robotics and its application

  • OECD FORD branch

Result continuities

  • 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)

Others

  • Publication year

    2003

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    EUROSPEECH 2003 PROCEEDINGS

  • ISBN

  • ISSN

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

    3021-3024

  • Publisher name

    ISCA

  • Place of publication

    Geneva

  • Event location

    Geneva

  • Event date

    Sep 1, 2003

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article