Vocal separation using improved robust principal component analysis and post-processing

Tomohiro Watanabe, Takanori Fujisawa, Masaaki Ikehara

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

    2 Citations (Scopus)

    Abstract

    Due to the spread of the Internet and improvement of the audio compression technology, we need technologies to handle a large number of audio files. Separating singing voice from music is one of them and it is used in many applications, such as lyric retrieval and singer recognition. Recently, robust principal component analysis (RPCA) has been proposed, which makes use of repetition of a phrase in an accompaniment. We assume that there are some points to be improved in RPCA. In this paper, we propose a developed method based on the RPCA algorithm. First, we propose the extended RPCA algorithm that makes use of the two features of the spectrogram. Second, we apply simple post-processing to remove noise effectively. Lastly, we experiment our algorithm using the MIR-1K dataset and confirm that the proposed algorithm shows better separation performance than the conventional RPCA method.

    Original languageEnglish
    Title of host publication2016 IEEE 59th International Midwest Symposium on Circuits and Systems, MWSCAS 2016
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Electronic)9781509009169
    DOIs
    Publication statusPublished - 2016 Jul 2
    Event59th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2016 - Abu Dhabi, United Arab Emirates
    Duration: 2016 Oct 162016 Oct 19

    Publication series

    NameMidwest Symposium on Circuits and Systems
    Volume0
    ISSN (Print)1548-3746

    Other

    Other59th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2016
    CountryUnited Arab Emirates
    CityAbu Dhabi
    Period16/10/1616/10/19

    ASJC Scopus subject areas

    • Electronic, Optical and Magnetic Materials
    • Electrical and Electronic Engineering

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  • Cite this

    Watanabe, T., Fujisawa, T., & Ikehara, M. (2016). Vocal separation using improved robust principal component analysis and post-processing. In 2016 IEEE 59th International Midwest Symposium on Circuits and Systems, MWSCAS 2016 [7870055] (Midwest Symposium on Circuits and Systems; Vol. 0). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MWSCAS.2016.7870055