demonstration

Mr. Emo: music retrieval in the emotion plane

Authors:

Yi Hsuan Yang,

Yu Ching Lin,

Heng Tze Cheng,

Homer H. ChenAuthors Info & Claims

MM '08: Proceedings of the 16th ACM international conference on Multimedia

Pages 1003 - 1004

https://doi.org/10.1145/1459359.1459550

Published: 26 October 2008 Publication History

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Abstract

This technical demo presents a novel emotion-based music retrieval platform, called Mr. Emo, for organizing and browsing music collections. Unlike conventional approaches which quantize emotions into classes, Mr. Emo defines emotions by two continuous variables arousal and valence and employs regression algorithms to predict them. Associated with arousal and valence values (AV values), each music sample becomes a point in the arousal-valence emotion plane, so a user can easily retrieve music samples of certain emotion(s) by specifying a point or a trajectory in the emotion plane. Being content centric and functionally powerful, such emotion-based retrieval complements traditional keyword- or artist-based retrieval. The demo shows the effectiveness and novelty of music retrieval in the emotion plane.

References

[1]

Y.-H. Yang et al, "A regression approach to music emotion recognition," IEEE Trans. Audio, Speech and Language Processing, vol. 16, no. 2, pp. 448--457, 2008.

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[2]

Y.-H. Yang et al, "Music emotion recognition: The role of individuality," Proc. ACM HCM, pp. 13--21, 2007.

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[3]

LIBSVM. http://www.csie.ntu.edu.tw/~cjlin/libsvm/.

Google Scholar

[4]

G. Tzanetakis et al, "Musical genre classification of audio signals," IEEE Trans. Speech and Audio Processing, vol. 10, no.5, pp. 293--302, 2002. http://marsyas.sness.net/.

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Cited By

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Takashima NLi FGrzegorzek MShirahama K(2023)Embedding-Based Music Emotion Recognition Using Composite LossIEEE Access10.1109/ACCESS.2023.326580711(36579-36604)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3265807
Griffiths DCunningham SWeinel JPicking R(2021)A multi-genre model for music emotion recognition using linear regressorsJournal of New Music Research10.1080/09298215.2021.1977336(1-18)Online publication date: 21-Sep-2021
https://doi.org/10.1080/09298215.2021.1977336
Takashima NLi FGrzegorzek MShirahama K(2020)Cross-Modal Music-Emotion Retrieval Using DeepCCAInformation Technology in Biomedicine10.1007/978-3-030-49666-1_11(133-145)Online publication date: 3-Sep-2020
https://doi.org/10.1007/978-3-030-49666-1_11
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Index Terms

Mr. Emo: music retrieval in the emotion plane
1. Applied computing
  1. Arts and humanities
    1. Sound and music computing

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Information & Contributors

Information

Published In

MM '08: Proceedings of the 16th ACM international conference on Multimedia

October 2008

1206 pages

ISBN:9781605583037

DOI:10.1145/1459359

General Chairs:
Abdulmotaleb EL Saddik
University of Ottawa
,
Son Vuong
University of British Colombia
,
Program Chairs:
Carsten Griwodz
University of Oslo
,
Alberto Del Bimbo
University degli Studi di Firenze
,
K. Selcuk Candan
Arizona State University
,
Alejandro Jaimes
Telefonica R&D, Madrid, Spain

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 October 2008

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Demonstration

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MM08

Sponsor:

MM08: ACM Multimedia Conference 2008

October 26 - 31, 2008

British Columbia, Vancouver, Canada

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Overall Acceptance Rate 2,145 of 8,556 submissions, 25%

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Cited By

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Takashima NLi FGrzegorzek MShirahama K(2023)Embedding-Based Music Emotion Recognition Using Composite LossIEEE Access10.1109/ACCESS.2023.326580711(36579-36604)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3265807
Griffiths DCunningham SWeinel JPicking R(2021)A multi-genre model for music emotion recognition using linear regressorsJournal of New Music Research10.1080/09298215.2021.1977336(1-18)Online publication date: 21-Sep-2021
https://doi.org/10.1080/09298215.2021.1977336
Takashima NLi FGrzegorzek MShirahama K(2020)Cross-Modal Music-Emotion Retrieval Using DeepCCAInformation Technology in Biomedicine10.1007/978-3-030-49666-1_11(133-145)Online publication date: 3-Sep-2020
https://doi.org/10.1007/978-3-030-49666-1_11
Chung CYang MChen H(2018)Subjective Evaluation of Vector Representation of Emotion Flow for Music Retrieval2018 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR)10.1109/MIPR.2018.00075(334-339)Online publication date: Apr-2018
https://doi.org/10.1109/MIPR.2018.00075
Chen YWang JYang YChen HYu-An Chen Ju-Chiang Wang Yi-Hsuan Yang Chen H(2017)Component Tying for Mixture Model Adaptation in Personalization of Music Emotion RecognitionIEEE/ACM Transactions on Audio, Speech and Language Processing10.1109/TASLP.2017.269356525:7(1409-1420)Online publication date: 1-Jul-2017
https://dl.acm.org/doi/10.1109/TASLP.2017.2693565
Drossos KKaliakatsos-Papakostas MFloros A(2016)Affective Audio Synthesis for Sound Experience EnhancementExperimental Multimedia Systems for Interactivity and Strategic Innovation10.4018/978-1-4666-8659-5.ch006(122-145)Online publication date: 2016
https://doi.org/10.4018/978-1-4666-8659-5.ch006
Griffiths DCunningham SWeinel J(2016)An Interactive Music Playlist Generator that Responds to User Emotion and Context10.14236/ewic/EVA2016.53Online publication date: 2016
https://doi.org/10.14236/ewic/EVA2016.53
Liu YLiu YZhang XChen GZhang KHanjalic ASnoek CWorring MBulterman DHuet BKelliher AKompatsiaris YLi J(2016)Learning Music Emotion Primitives via Supervised Dynamic ClusteringProceedings of the 24th ACM international conference on Multimedia10.1145/2964284.2967215(222-226)Online publication date: 1-Oct-2016
https://dl.acm.org/doi/10.1145/2964284.2967215
Andjelkovic IParra DO'Donovan JVassileva JBlustein JAroyo LD'Mello S(2016)MoodplayProceedings of the 2016 Conference on User Modeling Adaptation and Personalization10.1145/2930238.2930280(275-279)Online publication date: 13-Jul-2016
https://dl.acm.org/doi/10.1145/2930238.2930280
Wang JYang YWang H(2016)Affective Music Information RetrievalEmotions and Personality in Personalized Services10.1007/978-3-319-31413-6_12(227-261)Online publication date: 14-Jul-2016
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