Learning speaker normalization using semisupervised manifold alignment

Andrew R. Plummer, Mary E. Beckman, Mikhail Belkin, Eric Fosler-Lussier, Benjamin Munson

    Research output: Contribution to conferencePaper

    7 Scopus citations

    Abstract

    As a child acquires language, he or she: perceives acoustic information in his or her surrounding environment; identifies portions of the ambient acoustic information as language-related; and associates that language-related information with his or her perception of his or her own language-related acoustic productions. The present work models the third task. We use a semisupervised alignment algorithm based on manifold learning. We discuss the concepts behind this approach, and the application of the algorithm to this task. We present experimental evidence indicating the usefulness of manifold alignment in learning speaker normalization.

    Original languageEnglish (US)
    Pages2918-2921
    Number of pages4
    StatePublished - Dec 1 2010
    Event11th Annual Conference of the International Speech Communication Association: Spoken Language Processing for All, INTERSPEECH 2010 - Makuhari, Chiba, Japan
    Duration: Sep 26 2010Sep 30 2010

    Other

    Other11th Annual Conference of the International Speech Communication Association: Spoken Language Processing for All, INTERSPEECH 2010
    CountryJapan
    CityMakuhari, Chiba
    Period9/26/109/30/10

    Keywords

    • Language acquisition
    • Manifold alignment
    • Speaker normalization

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  • Cite this

    Plummer, A. R., Beckman, M. E., Belkin, M., Fosler-Lussier, E., & Munson, B. (2010). Learning speaker normalization using semisupervised manifold alignment. 2918-2921. Paper presented at 11th Annual Conference of the International Speech Communication Association: Spoken Language Processing for All, INTERSPEECH 2010, Makuhari, Chiba, Japan.