BLUES from Music: BLind Underdetermined Extraction of Sources from Music

Michael Syskind Pedersen, Tue Lehn-Schiøler, Jan Larsen

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    Abstract

    In this paper we propose to use an instantaneous ICA method (BLUES) to separate the instruments in a real music stereo recording. We combine two strong separation techniques to segregate instruments from a mixture: ICA and binary time-frequency masking. By combining the methods, we are able to make use of the fact that the sources are differently distributed in both space, time and frequency. Our method is able to segregate an arbitrary number of instruments and the segregated sources are maintained as stereo signals. We have evaluated our method on real stereo recordings, and we can segregate those instruments which are spatially different from other instruments.
    Original languageEnglish
    Title of host publicationICA2006
    Volume3889
    PublisherSpringer Berlin / Heidelberg
    Publication date2006
    Pages392-399
    Publication statusPublished - 2006
    Event6th International Conference on Independent Component Analysis and Blind Signal Separation - Charleston, United States
    Duration: 5 Mar 20068 Mar 2006

    Conference

    Conference6th International Conference on Independent Component Analysis and Blind Signal Separation
    Country/TerritoryUnited States
    CityCharleston
    Period05/03/200608/03/2006
    SeriesLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    ISSN0302-9743

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