Chord recognition using Doubly Nested Circle of Fifths

Aiko Uemura, Jiro Katto

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

    1 Citation (Scopus)

    Abstract

    This paper presents a chord recognition method from music signals using chroma vectors and musical knowledge known as "Doubly Nested Circle of Fifths (DNCOF)". DNCOF represents the relationships of major and minor chords where the neighboring two triads are similar. We obtain a novel feature from chroma vectors by mapping them onto two-dimensional DNCOF coordinate, which we call "DNCOF vectors". We expect that the DNCOF vectors can contribute to correcting false recognition obtained by the chroma vectors when their mapped positions are apart from one another in the DNCOF coordinate. In this research, we evaluated our proposal using the Beatles' datasets and showed its effectiveness.

    Original languageEnglish
    Title of host publicationICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
    Pages449-452
    Number of pages4
    DOIs
    Publication statusPublished - 2012
    Event2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Kyoto
    Duration: 2012 Mar 252012 Mar 30

    Other

    Other2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012
    CityKyoto
    Period12/3/2512/3/30

    Keywords

    • Acoustic signal analysis
    • Chord recognition
    • Hidden Markov Model
    • Music
    • Music theory

    ASJC Scopus subject areas

    • Signal Processing
    • Software
    • Electrical and Electronic Engineering

    Cite this

    Uemura, A., & Katto, J. (2012). Chord recognition using Doubly Nested Circle of Fifths. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (pp. 449-452). [6287913] https://doi.org/10.1109/ICASSP.2012.6287913