Experimental Comparison of Signal Subspace Based Noise Reduction Methods

Publication: Research - peer-reviewArticle in proceedings – Annual report year: 1999

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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
StatePublished

Conference

ConferenceIEEE International Conference on Acoustics, Speech, and Signal Processing 1999
CountryUnited States
CityPhoenix, AZ
Period15/03/9919/03/99
Internet addresshttp://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6110

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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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