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Speaker adaptation in the Czech large vocabulary continuous speech recognition system

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F01%3A00064720" target="_blank" >RIV/49777513:23520/01:00064720 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Speaker adaptation in the Czech large vocabulary continuous speech recognition system

  • Original language description

    This paper presents a method for improvement of a recognition rate in the Czech large vocabulary continuous speech recognition system. Speaker independent systems are usually trained by the speech data of many speakers but achieve a lower recognition rate than speaker dependent systems. A need for a large amount of the speech training data from each speaker makes the latter practically unusable. Speaker adaptation is a general name for a group of methods which try to increase a recognition rate of the SI system using only a small amount of training speech data from a new speaker. The maximum a posteriori method (based on Bayesian approach) together with its necessary corrections for the Czech language (the parameter tying method) is presented. Resultsof experiments that were carried out to verify performance of presented methods are discussed in the last part of this article.

  • 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/GV102%2F96%2FK087" target="_blank" >GV102/96/K087: Theory and application of speach communication in czech</a><br>

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2001

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Speaker adaptation in the Czech large vocabulary continuous speech recognition system

  • ISBN

  • ISSN

  • e-ISSN

  • Number of pages

    3

  • Pages from-to

  • Publisher name

    Université Paul Sabatier

  • Place of publication

    Toulouse

  • Event location

    Toulouse

  • Event date

    Jan 1, 2001

  • Type of event by nationality

    CST - Celostátní akce

  • UT code for WoS article