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The Speaker Adaptation of an Acoustic Model

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F07%3A00000263" target="_blank" >RIV/49777513:23520/07:00000263 - isvavai.cz</a>

  • Alternative codes found

    RIV/49777513:23520/07:00000023

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    The Speaker Adaptation of an Acoustic Model

  • Original language description

    This paper deals with several adaptation techniques, which are of the importance in cases when the identity of a speaker is known and we want to recognize his speech. Each of the methods yields various benefits, therefore we examined their combination. This approach brought further error rate decreasing. We are using three different methods, namely Maximum Apriori Probability adaptation, Maximum Likelihood Linear Regression and Constrained Maximum Likelihood Linear Regression. All acoustic models are based on the Hiden Markov Model.

  • Czech name

    Adaptace akustického modelu

  • Czech description

    Tento článek popisuje několik adaptačních metod. Každá z metod přináší různé výhody.Zabývali jsme se i jejich kombinacemi. Byly použity metody MAP, MLLR a CMLLR. Všechny modely jsou založeny na HMM přístupu.

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JD - Use of computers, robotics and its application

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

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

Others

  • Publication year

    2007

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    The 1st Young Researchers Conference on Applied Sciences

  • ISBN

    978-80-7043-574-8

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    212-217

  • Publisher name

    Západočeská univerzita

  • Place of publication

    Plzeň

  • Event location

    Plzeň

  • Event date

    Jan 1, 2007

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article