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Depth-based Features in Audio-Visual Speech Recognition

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24220%2F16%3A00000469" target="_blank" >RIV/46747885:24220/16:00000469 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1109/TSP.2016.7760884" target="_blank" >http://dx.doi.org/10.1109/TSP.2016.7760884</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/TSP.2016.7760884" target="_blank" >10.1109/TSP.2016.7760884</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Depth-based Features in Audio-Visual Speech Recognition

  • Original language description

    We study the impact of depth-based visual features in systems for visual and audio-visual speech recognition. Instead of reconstruction from multiple views, the depth maps are obtained by the Kinect sensor, which is better suited for real world applications. We extract several types of visual features from video and depth channels and evaluate their performance both individually and in cross-channel combination. In order to show the information complementarity between the video-based and the depth-based features, we examine the relative importance of each channel when combined via weighted multi-stream Hidden Markov Models. We also introduce novel parametrizations based on discrete cosine transform and histogram of oriented gradients. The contribution of all presented visual speech features is demonstrated in the task of audio-visual speech recognition under noisy conditions.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JC - Computer hardware and software

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2016

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proc. of the 39th International Conference on Telecommunications and Signal Processing (TSP 2016)

  • ISBN

    978-1-5090-1287-9

  • ISSN

    1805-5435

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

    303-306

  • Publisher name

    Institute of Electrical and Electronics Engineers Inc.

  • Place of publication

    Vídeň, Rakousko

  • Event location

    Vídeň, Rakousko

  • Event date

    Jan 1, 2016

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000390164000065