Similarity graph: visual exploration of song collections

Jorge Henrique Piazentin Ono; Debora C. Correa; Martha D. Ferreira; Rodrigo Fernandes de Mello; Luis Gustavo Nonato

Similarity graph: visual exploration of song collections

Jorge Henrique Piazentin Ono, Debora C. Correa, Martha D. Ferreira, Rodrigo Fernandes de Mello, Luis Gustavo Nonato

Research output: Chapter in Book/Conference paper › Conference paper › peer-review

Abstract

Music collections are widely available on the Internet and, with the increasing storage and bandwidth capability, users can currently access thousands of songs, what brings challenges to music organization and exploration. Therefore,
there is a growing demand towards automated Music Information Retrieval (MIR) tools for organizing, retrieving and processing music data sets. Recent visualization systems have focused in showing music similarities using audio data and multidimensional projection. Nonetheless, they do not take into account similarities between parts of songs, that is, they compare pieces as a whole, neglecting the aspect that some of them have similarities only in small parts. This work proposes a novel methodology for users to visually explore music collections considering that the similarity can take place only in small parts of the song. Our approach uses MIR to find similar segments between pairs of audio files and a graph metaphor to display the detected similarities.

Original language	English
Title of host publication	SIPGRAPI 2015: 28th Conference on Graphics, Patterns and Images
Editors	Luciano R. Oliveira, Antônio L. Apolinário Jr., Rubisley P. Lemes
Place of Publication	Los Alamitos, CA
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Publication status	Published - 2015
Externally published	Yes
Event	SIBGRAPI 2015 - Conference on Graphics, Patterns and Images - Salvador, Brazil Duration: 26 Aug 2015 → 29 Aug 2015 http://sibgrapi2015.dcc.ufba.br/

Conference

Conference	SIBGRAPI 2015 - Conference on Graphics, Patterns and Images
Country/Territory	Brazil
City	Salvador
Period	26/08/15 → 29/08/15
Internet address	http://sibgrapi2015.dcc.ufba.br/

Cite this

@inproceedings{f6ab33d96fa74e4598062faa07216f29,

title = "Similarity graph: visual exploration of song collections",

abstract = "Music collections are widely available on the Internet and, with the increasing storage and bandwidth capability, users can currently access thousands of songs, what brings challenges to music organization and exploration. Therefore,there is a growing demand towards automated Music Information Retrieval (MIR) tools for organizing, retrieving and processing music data sets. Recent visualization systems have focused in showing music similarities using audio data and multidimensional projection. Nonetheless, they do not take into account similarities between parts of songs, that is, they compare pieces as a whole, neglecting the aspect that some of them have similarities only in small parts. This work proposes a novel methodology for users to visually explore music collections considering that the similarity can take place only in small parts of the song. Our approach uses MIR to find similar segments between pairs of audio files and a graph metaphor to display the detected similarities.",

author = "Ono, {Jorge Henrique Piazentin} and Correa, {Debora C.} and Ferreira, {Martha D.} and {de Mello}, {Rodrigo Fernandes} and Nonato, {Luis Gustavo}",

year = "2015",

language = "English",

editor = "Oliveira, {Luciano R. } and {Apolin{\'a}rio Jr.}, {Ant{\^o}nio L.} and Lemes, {Rubisley P. }",

booktitle = "SIPGRAPI 2015: 28th Conference on Graphics, Patterns and Images",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States",

note = "SIBGRAPI 2015 - Conference on Graphics, Patterns and Images ; Conference date: 26-08-2015 Through 29-08-2015",

url = "http://sibgrapi2015.dcc.ufba.br/",

}

Ono, JHP, Correa, DC, Ferreira, MD, de Mello, RF & Nonato, LG 2015, Similarity graph: visual exploration of song collections. in LR Oliveira, AL Apolinário Jr. & RP Lemes (eds), SIPGRAPI 2015: 28th Conference on Graphics, Patterns and Images . IEEE, Institute of Electrical and Electronics Engineers, Los Alamitos, CA, SIBGRAPI 2015 - Conference on Graphics, Patterns and Images, Salvador, Brazil, 26/08/15.

Similarity graph: visual exploration of song collections. / Ono, Jorge Henrique Piazentin; Correa, Debora C.; Ferreira, Martha D. et al.
SIPGRAPI 2015: 28th Conference on Graphics, Patterns and Images . ed. / Luciano R. Oliveira; Antônio L. Apolinário Jr.; Rubisley P. Lemes. Los Alamitos, CA: IEEE, Institute of Electrical and Electronics Engineers, 2015.

Research output: Chapter in Book/Conference paper › Conference paper › peer-review

TY - GEN

T1 - Similarity graph: visual exploration of song collections

AU - Ono, Jorge Henrique Piazentin

AU - Correa, Debora C.

AU - Ferreira, Martha D.

AU - de Mello, Rodrigo Fernandes

AU - Nonato, Luis Gustavo

PY - 2015

Y1 - 2015

N2 - Music collections are widely available on the Internet and, with the increasing storage and bandwidth capability, users can currently access thousands of songs, what brings challenges to music organization and exploration. Therefore,there is a growing demand towards automated Music Information Retrieval (MIR) tools for organizing, retrieving and processing music data sets. Recent visualization systems have focused in showing music similarities using audio data and multidimensional projection. Nonetheless, they do not take into account similarities between parts of songs, that is, they compare pieces as a whole, neglecting the aspect that some of them have similarities only in small parts. This work proposes a novel methodology for users to visually explore music collections considering that the similarity can take place only in small parts of the song. Our approach uses MIR to find similar segments between pairs of audio files and a graph metaphor to display the detected similarities.

AB - Music collections are widely available on the Internet and, with the increasing storage and bandwidth capability, users can currently access thousands of songs, what brings challenges to music organization and exploration. Therefore,there is a growing demand towards automated Music Information Retrieval (MIR) tools for organizing, retrieving and processing music data sets. Recent visualization systems have focused in showing music similarities using audio data and multidimensional projection. Nonetheless, they do not take into account similarities between parts of songs, that is, they compare pieces as a whole, neglecting the aspect that some of them have similarities only in small parts. This work proposes a novel methodology for users to visually explore music collections considering that the similarity can take place only in small parts of the song. Our approach uses MIR to find similar segments between pairs of audio files and a graph metaphor to display the detected similarities.

M3 - Conference paper

BT - SIPGRAPI 2015: 28th Conference on Graphics, Patterns and Images

A2 - Oliveira, Luciano R.

A2 - Apolinário Jr., Antônio L.

A2 - Lemes, Rubisley P.

PB - IEEE, Institute of Electrical and Electronics Engineers

CY - Los Alamitos, CA

T2 - SIBGRAPI 2015 - Conference on Graphics, Patterns and Images

Y2 - 26 August 2015 through 29 August 2015

ER -

Similarity graph: visual exploration of song collections

Abstract

Conference

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Cite this