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Evaluation of Automatic Speaker Recognition Approaches

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F09%3A00502311" target="_blank" >RIV/49777513:23520/09:00502311 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Evaluation of Automatic Speaker Recognition Approaches

  • Original language description

    his paper deals with automatic speaker recognition in Czech. The main goal is to evaluate and compare several parametrization/classification methods. We further study the impact of varying sizes of training corpus and test sentence on the recognition accuracy for different parametrizations and classifiers. We experimentally found that the recognition is still very accurate for test utterances as short as two seconds. The best recognition accuracy is obtained with LPCEPSTRA/LPREFC parametrizations and HMM classifier.

  • Czech name

  • Czech description

Classification

  • Type

    O - Miscellaneous

  • CEP classification

    JC - Computer hardware and software

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/2C06009" target="_blank" >2C06009: Complex knowledge base tools for natural language communication with the semantic web</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2009

  • Confidentiality

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