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Viseme-Dependent Weight Optimization for CHMM-Based Audio-Visual Speech Recognition

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F10%3A00504536" target="_blank" >RIV/49777513:23520/10:00504536 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Viseme-Dependent Weight Optimization for CHMM-Based Audio-Visual Speech Recognition

  • Original language description

    The aim of the present study is to investigate some key challenges of the audio-visual speech recognition technology, such as asynchrony modeling of multimodal speech, estimation of auditory and visual speech significance, as well as stream weight optimization. Our research shows that the usage of viseme-dependent stream weights improves the performance of state asynchronous CHMM-based speech recognizer. In addition, for a state synchronous MSHMM-based recognizer, fewer errors can be achieved using stationary time delays of visual data with respect to the corresponding audio signal. Evaluation experiments showed that individual audio-visual stream weights for each viseme-phoneme pair lead to relative reduction of WER by 20%.

  • 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/ME08106" target="_blank" >ME08106: DIMAS-CZ Development of integral multimodal assistive system</a><br>

  • Continuities

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

Others

  • Publication year

    2010

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Interspeech 2010

  • ISBN

    978-1-61782-123-3

  • ISSN

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

  • Publisher name

    Curran Associates

  • Place of publication

    Red Hook

  • Event location

    Makuhari, Chiba, Japan

  • Event date

    Jan 1, 2010

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article