Which Phoneme-to-Viseme Maps Best Improve Visual-Only Computer Lip-Reading? View Full Text


Ontology type: schema:Chapter      Open Access: True


Chapter Info

DATE

2014

AUTHORS

Helen L. Bear , Richard W. Harvey , Barry-John Theobald , Yuxuan Lan

ABSTRACT

A critical assumption of all current visual speech recognition systems is that there are visual speech units called visemes which can be mapped to units of acoustic speech, the phonemes. Despite there being a number of published maps it is infrequent to see the effectiveness of these tested, particularly on visual-only lip-reading (many works use audio-visual speech). Here we examine 120 mappings and consider if any are stable across talkers. We show a method for devising maps based on phoneme confusions from an automated lip-reading system, and we present new mappings that show improvements for individual talkers. More... »

PAGES

230-239

References to SciGraph publications

  • 2004-11. Active Appearance Models Revisited in INTERNATIONAL JOURNAL OF COMPUTER VISION
  • 2002. Audio-to-Visual Conversion Using Hidden Markov Models in PRICAI 2002: TRENDS IN ARTIFICIAL INTELLIGENCE
  • Book

    TITLE

    Advances in Visual Computing

    ISBN

    978-3-319-14363-7
    978-3-319-14364-4

    Author Affiliations

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-319-14364-4_22

    DOI

    http://dx.doi.org/10.1007/978-3-319-14364-4_22

    DIMENSIONS

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