On Low-level Cognitive Components of Speech

Ling Feng, Lars Kai Hansen

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    Abstract

    In this paper we analyze speech for low-level cognitive features using linear component analysis. We demonstrate generalizable component ‘fingerprints’ stemming from both phonemes and speakers. Phonemes are fingerprints found at the basic analysis window time scale (20 msec), while speaker ‘voiceprints’ are found at time scales around 1000 msec. The analysis is based on homomorphic filtering features and energy based sparsification.
    Original languageEnglish
    Title of host publicationInternational Conference on Computational Intelligence for Modelling
    Volume2
    PublisherIEEE
    Publication date2006
    Pages852-857
    ISBN (Print)0-7695-2504-0
    DOIs
    Publication statusPublished - 2006
    EventInternational Conference on Computational Intelligence for Modelling - Vienna, Austria
    Duration: 1 Jan 2005 → …
    Conference number: 05

    Conference

    ConferenceInternational Conference on Computational Intelligence for Modelling
    Number05
    CityVienna, Austria
    Period01/01/2005 → …

    Bibliographical note

    Copyright: 2005 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE

    Keywords

    • Independent component analysis
    • Speech
    • Cognitive component analysis
    • Cognition

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