Semi-blind Source Separation Using Head-Related Transfer Functions

Michael Syskind Pedersen, Lars Kai Hansen, Ulrik Kjems, Karsten Bo Rasmussen

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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    Abstract

    An online blind source separation algorithm which is a special case of the geometric algorithm by Parra and Fancourt has been implemented for the purpose of separating sounds recorded at microphones placed at each side of the head. By using the assumption that the position of the two sounds are known, the source separation algorithm has been geometrically constrained. Since the separation takes place in a non free-field, a head-related transfer function (HRTF) is used to simulate the response between microphones placed at the two ears. The use of a HRTF instead of assuming free-field improves the separation with approximately 1 dB compared to when free-field is assumed. This indicates that the permutation ambiguity is solved more accurate compared to when free-field is assumed.
    Original languageEnglish
    Title of host publicationProceedings of the International Conference on Acoustics, Speech, and Signal Processing 2004
    Publication date2004
    Pages713-716
    Publication statusPublished - 2004
    EventIEEE International Conference on Acoustics, Speech, and Signal Processing 2004 - Montreal, Quebec, Canada
    Duration: 17 May 200421 May 2004

    Conference

    ConferenceIEEE International Conference on Acoustics, Speech, and Signal Processing 2004
    CountryCanada
    CityMontreal, Quebec
    Period17/05/200421/05/2004

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