Experimental Comparison of Signal Subspace Based Noise Reduction Methods

Peter Søren Kirk Hansen, Per Christian Hansen, Steffen Duus Hansen, John Aasted Sørensen

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    Abstract

    The signal subspace approach for non-parametric speech enhancement is considered. Several algorithms have been proposed in the literature but only partly analyzed. Here, the different algorithms are compared, and the emphasis is put onto the limiting factors and practical behavior of the estimators. Experimental results show that the signal subspace approach may lead to a significant enhancement of the signal to noise ratio of the output signal.
    Original languageEnglish
    Title of host publicationProceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing
    Volume1
    Publication date1999
    Pages101-104
    ISBN (Print)0-7803-5041-3
    DOIs
    Publication statusPublished - 1999
    EventIEEE International Conference on Acoustics, Speech, and Signal Processing 1999 - Phoenix, AZ, United States
    Duration: 15 Mar 199919 Mar 1999
    http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6110

    Conference

    ConferenceIEEE International Conference on Acoustics, Speech, and Signal Processing 1999
    Country/TerritoryUnited States
    CityPhoenix, AZ
    Period15/03/199919/03/1999
    Internet address

    Bibliographical note

    Copyright: 2000 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

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