Chord recognition using Doubly Nested Circle of Fifths

Aiko Uemura; Jiro Katto

doi:10.1109/ICASSP.2012.6287913

Chord recognition using Doubly Nested Circle of Fifths

Aiko Uemura^*, Jiro Katto

^*Corresponding author for this work

School of Fundamental Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (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 language	English
Title of host publication	2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Proceedings
Pages	449-452
Number of pages	4
DOIs	https://doi.org/10.1109/ICASSP.2012.6287913
Publication status	Published - 2012
Event	2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Kyoto, Japan Duration: 2012 Mar 25 → 2012 Mar 30

Publication series

Name	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)	1520-6149

Conference

Conference	2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012
Country/Territory	Japan
City	Kyoto
Period	12/3/25 → 12/3/30

Keywords

Acoustic signal analysis
Chord recognition
Hidden Markov Model
Music
Music theory

ASJC Scopus subject areas

Software
Signal Processing
Electrical and Electronic Engineering

Access to Document

10.1109/ICASSP.2012.6287913

Cite this

Chord recognition using Doubly Nested Circle of Fifths. / Uemura, Aiko; Katto, Jiro.

2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Proceedings. 2012. p. 449-452 6287913 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Uemura, A & Katto, J 2012, Chord recognition using Doubly Nested Circle of Fifths. in 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Proceedings., 6287913, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, pp. 449-452, 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012, Kyoto, Japan, 12/3/25. https://doi.org/10.1109/ICASSP.2012.6287913

@inproceedings{bb421f64985548ee8723d8f3b5fb0b6f,

title = "Chord recognition using Doubly Nested Circle of Fifths",

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.",

keywords = "Acoustic signal analysis, Chord recognition, Hidden Markov Model, Music, Music theory",

author = "Aiko Uemura and Jiro Katto",

year = "2012",

doi = "10.1109/ICASSP.2012.6287913",

language = "English",

isbn = "9781467300469",

series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",

pages = "449--452",

booktitle = "2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Proceedings",

note = "2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 ; Conference date: 25-03-2012 Through 30-03-2012",

}

TY - GEN

T1 - Chord recognition using Doubly Nested Circle of Fifths

AU - Uemura, Aiko

AU - Katto, Jiro

PY - 2012

Y1 - 2012

N2 - 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.

AB - 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.

KW - Acoustic signal analysis

KW - Chord recognition

KW - Hidden Markov Model

KW - Music

KW - Music theory

UR - http://www.scopus.com/inward/record.url?scp=84867612606&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84867612606&partnerID=8YFLogxK

U2 - 10.1109/ICASSP.2012.6287913

DO - 10.1109/ICASSP.2012.6287913

M3 - Conference contribution

AN - SCOPUS:84867612606

SN - 9781467300469

T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

SP - 449

EP - 452

BT - 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Proceedings

T2 - 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012

Y2 - 25 March 2012 through 30 March 2012

ER -

Chord recognition using Doubly Nested Circle of Fifths

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Cite this