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Music Emotion Classification (MEC): Exploiting Vocal and Instrumental Sound Features

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Recent Advances on Soft Computing and Data Mining

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 287))

Abstract

Music conveys and evokes feeling. Many studies that correlate music with emotion have been done as people nowadays often prefer to listen to a certain song that suits their moods or emotion .This project present works on classifying emotion in music by exploiting vocal and instrumental part of a song. The final system is able to use musical features extracted from vocal part and instrumental part of a song, such as spectral centroid, spectral rolloff and zero-cross as to classify whether selected Malay popular music contain “sad” or “happy” emotion. Fuzzy k-NN (FKNN) and artificial neural network (ANN) are used in this system as a machine classifier. The percentages of emotion classified in Malay popular songs are expected to be higher when both features are applied.

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Author information

Authors and Affiliations

  1. Faculty of Computer and Mathemathical Sciences, Universiti Teknologi MARA, Shah Alam, Malaysia

    Mudiana Mokhsin Misron, Nurlaila Rosli & Norehan Abdul Manaf

  2. Faculty of Technology Management, Open Universiti Malaysia, Kuala Lumpur, Malaysia

    Hamizan Abdul Halim

Authors
  1. Mudiana Mokhsin Misron
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  2. Nurlaila Rosli
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  3. Norehan Abdul Manaf
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  4. Hamizan Abdul Halim
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Corresponding author

Correspondence to Mudiana Mokhsin Misron .

Editor information

Editors and Affiliations

  1. Department of Information System Faculty of Comp. Sci. & Info. Tech., University of Malaya, Kuala Lumpur, Malaysia

    Tutut Herawan

  2. Faculty of Comp. Sci. and Info. Tech, Universiti Tun Hussein Onn Malaysia, Parit Raja, Malaysia

    Rozaida Ghazali

  3. Faculty of Comp. Sci. and Info. Tech., Universiti Tun Hussein Onn Malaysia, Parit Raja, Malaysia

    Mustafa Mat Deris

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© 2014 Springer International Publishing Switzerland

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Misron, M.M., Rosli, N., Manaf, N.A., Halim, H.A. (2014). Music Emotion Classification (MEC): Exploiting Vocal and Instrumental Sound Features. In: Herawan, T., Ghazali, R., Deris, M. (eds) Recent Advances on Soft Computing and Data Mining. Advances in Intelligent Systems and Computing, vol 287. Springer, Cham. https://doi.org/10.1007/978-3-319-07692-8_51

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  • DOI: https://doi.org/10.1007/978-3-319-07692-8_51

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-07691-1

  • Online ISBN: 978-3-319-07692-8

  • eBook Packages: EngineeringEngineering (R0)

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