Effects of audio compression on chord recognition

Aiko Uemura, Kazumasa Ishikura, Jiro Katto

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

    1 Citation (Scopus)

    Abstract

    Feature analysis of audio compression is necessary to achieve high accuracy in musical content recognition and content-based music information retrieval (MIR). Bit rate differences are expected to adversely affect musical content analysis and content-based MIR results because the frequency response might be changed by the encoding. In this paper, we specifically examine its effect on the chroma vector, which is a commonly used feature vector for music signal processing. We analyze sound qualities extracted from encoded music files with different bit rates and compare them with the chroma features of original songs obtained using datasets for chord recognition.

    Original languageEnglish
    Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Pages345-352
    Number of pages8
    Volume8326 LNCS
    EditionPART 2
    DOIs
    Publication statusPublished - 2014
    Event20th Anniversary International Conference on MultiMedia Modeling, MMM 2014 - Dublin
    Duration: 2014 Jan 62014 Jan 10

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    NumberPART 2
    Volume8326 LNCS
    ISSN (Print)03029743
    ISSN (Electronic)16113349

    Other

    Other20th Anniversary International Conference on MultiMedia Modeling, MMM 2014
    CityDublin
    Period14/1/614/1/10

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    Keywords

    • audio compression
    • chord recognition
    • chroma vector

    ASJC Scopus subject areas

    • Computer Science(all)
    • Theoretical Computer Science

    Cite this

    Uemura, A., Ishikura, K., & Katto, J. (2014). Effects of audio compression on chord recognition. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (PART 2 ed., Vol. 8326 LNCS, pp. 345-352). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8326 LNCS, No. PART 2). https://doi.org/10.1007/978-3-319-04117-9_34