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    Time Frequency Principal Components: Application to Speaker Identification

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    Author
    Magrin-Chagnolleau, Ivan; Durou, Geoffrey
    Date
    2004-01-14
    Abstract
    In this paper, we propose a formalism, called vector filtering of spectral trajectories, which allows to integrate under a common formalism a lot of speech parameterization approaches. We then propose a new filtering in this framework, called time-frequency principal components (TFPC) of speech. We apply this new filtering in the framework of speaker identification, using a subset of the POLYCOST database. The results show an improvement of roughly 20% compared to the use of the classical cepstral coefficients augmented by their Delta-coefficients.
    Description
    Conference Paper
    Citation
    I. Magrin-Chagnolleau and G. Durou, "Time Frequency Principal Components: Application to Speaker Identification," 1999.
    Keyword
    Temporary; Multifractals; Temporary
    Type
    Conference paper
    Citable link to this page
    https://hdl.handle.net/1911/20076
    Metadata
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    • DSP Publications [508]
    • ECE Publications [1468]

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    Managed by the Digital Scholarship Services at Fondren Library, Rice University
    Physical Address: 6100 Main Street, Houston, Texas 77005
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    Site Map