University of Hertfordshire

By the same authors

Singing voice separation based on non-vocal independent component subtraction and amplitude discrimination

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Documents

  • 905449

    Accepted author manuscript, 455 KB, PDF-document

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Original languageEnglish
Title of host publicationIn: Proceedings of the 13th International Conference on Digital Audio Effects, (DAFx 2010)
PublisherInstitute of Electronic Music and Acoustics
Pages221-224
ISBN (Print)978-3-2000-1940-9
Publication statusPublished - 2010

Abstract

Many applications of Music Information Retrieval can benefit from effective isolation of the music sources. Earlier work by the authors led to the development of a system that is based on Azimuth Discrimination and Resynthesis (ADRess) and can extract the singing voice from reverberant stereophonic mixtures. We propose an extension to our previous method that is not based on ADRess and exploits both channels of the stereo mix more effectively. For the evaluation of the system we use a dataset that contains songs convolved during mastering as well as the mixing process (i.e. “real-world” conditions). The metrics for objective evaluation are based on bss_eval.

Notes

Copyright Institute of Electronic Music and Acoustics

ID: 304053