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Computer Science and its Applications pp 1065–1070Cite as

A Music Recommendation Method with Emotion Recognition Using Ranked Attributes

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Part of the Lecture Notes in Electrical Engineering book series (LNEE,volume 330)

Abstract

Emotion recognition field can be useful for music discovery and recommendation, because emotions can precisely describe the actual habits of a listener. In this paper, we propose a new concept called Ranked Attributes that are useful to make reasonable music recommendations. More precisely, we propose to consider additional attributes to emotion, such as weather and time, and build a Ranked Attributes Tree (RAT) that enables to recommend a music piece based on a combination of all ranked attributes. In this paper, we describe the following parts of the proposed method: database design, voice and emotion recognition, and music recommendation.

Keywords

  • Emotion recognition
  • text mining
  • ranked attributes

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  • DOI: 10.1007/978-3-662-45402-2_151
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References

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Author information

Authors and Affiliations

  1. Department of Multimedia Science, Sookmyung Women’s University, Seoul, South Korea

    So-Hyun Park, Sun-Young Ihm, Wu-In Jang & Young-Ho Park

  2. School of Computer Engineering, Dongguk University at Gyeongju, Gyeongju-si, South Korea

    Aziz Nasridinov

Authors
  1. So-Hyun Park
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  2. Sun-Young Ihm
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  3. Wu-In Jang
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  4. Aziz Nasridinov
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  5. Young-Ho Park
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Corresponding author

Correspondence to So-Hyun Park .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Seoul University of Science and Technology (SeoulTech), Seoul, Korea, Republic of (South Korea)

    James J. (Jong Hyuk) Park

  2. School of IT and Engineering, University of Ottawa, Ottawa, Ontario, Canada

    Ivan Stojmenovic

  3. Humanitas College, Kyung Hee University, Seoul, Korea, Republic of (South Korea)

    Hwa Young Jeong

  4. Computer Science & Engineering, Gangneung-Wonju Natioanl University, Wonju, Korea, Republic of (South Korea)

    Gangman Yi

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© 2015 Springer-Verlag Berlin Heidelberg

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Park, SH., Ihm, SY., Jang, WI., Nasridinov, A., Park, YH. (2015). A Music Recommendation Method with Emotion Recognition Using Ranked Attributes. In: Park, J., Stojmenovic, I., Jeong, H., Yi, G. (eds) Computer Science and its Applications. Lecture Notes in Electrical Engineering, vol 330. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45402-2_151

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  • DOI: https://doi.org/10.1007/978-3-662-45402-2_151

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-45401-5

  • Online ISBN: 978-3-662-45402-2

  • eBook Packages: EngineeringEngineering (R0)