Key estimation using circle of fifths

Takahito Inoshita, Jiro Katto

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

    3 Citations (Scopus)

    Abstract

    This paper presents a novel key estimation method of sound sources based on the music theory known as "circle of fifths". We firstly overview music theory and formulate the musical key analysis by vector operations. In detail, we separate music sources into small pieces and calculate FFT-based chroma vectors. They are converted to tonality vectors and COF (circle-of-fifth) vectors are calculated from the tonality vectors, which are mapped onto the circle of fifths coordinate. As a result, each music source can be represented by traces of COF vectors, which usually stay inside a single key region on the circle of fifths. Finally, HMM is applied to the traces of COF vectors in order to detect keys and their boundaries. Experiments using music databases are also carried out.

    Original languageEnglish
    Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Pages287-297
    Number of pages11
    Volume5371 LNCS
    DOIs
    Publication statusPublished - 2009
    Event15th International Multimedia Modeling Conference, MMM 2009 - Sophia-Antipolis
    Duration: 2009 Jan 72009 Jan 9

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume5371 LNCS
    ISSN (Print)03029743
    ISSN (Electronic)16113349

    Other

    Other15th International Multimedia Modeling Conference, MMM 2009
    CitySophia-Antipolis
    Period09/1/709/1/9

    Fingerprint

    Circle
    Music
    Trace
    Fast Fourier transforms
    Acoustic waves
    Calculate
    Experiment
    Experiments

    ASJC Scopus subject areas

    • Computer Science(all)
    • Theoretical Computer Science

    Cite this

    Inoshita, T., & Katto, J. (2009). Key estimation using circle of fifths. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5371 LNCS, pp. 287-297). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5371 LNCS). https://doi.org/10.1007/978-3-540-92892-8_31

    Key estimation using circle of fifths. / Inoshita, Takahito; Katto, Jiro.

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5371 LNCS 2009. p. 287-297 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5371 LNCS).

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

    Inoshita, T & Katto, J 2009, Key estimation using circle of fifths. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 5371 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5371 LNCS, pp. 287-297, 15th International Multimedia Modeling Conference, MMM 2009, Sophia-Antipolis, 09/1/7. https://doi.org/10.1007/978-3-540-92892-8_31
    Inoshita T, Katto J. Key estimation using circle of fifths. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5371 LNCS. 2009. p. 287-297. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-540-92892-8_31
    Inoshita, Takahito ; Katto, Jiro. / Key estimation using circle of fifths. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5371 LNCS 2009. pp. 287-297 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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