Song Emotion Detection Based on Arousal-Valence from Audio and Lyrics Using Rule Based Method

Fika Hastarita Rachman, Riyanarto Samo, Chastine Fatichah

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

Arousal and Valence value represent of song emotions. Arousal is an emotional dimension of musically energy level, while Valence is an emotional dimension of the comfortable level of the listener. Label emotion of Thayer using Arousal and Valence dimension. This research proposed a rule base method for detecting song emotion using arousal and valence values, however many studies do not use this data. The datasets are audio and lyric features of the song structural segment chorus. Preprocessing of Audio and lyric data are uses Correlation Feature Selection (CFS) and preprocessing text. Audio feature extraction is using MIRToolbox. Stylistic and psycholinguistic are used for lyrics feature extraction. Rule based method is used to detect the emotions of the whole song by using the predictive feature of the arousal and valence values. The arousal and valence prediction values are representing withmatrices of frequencyfor audio and lyrics. From the analysis of testing data, it shows that the audio feature more represents the value of Valence while the lyrics feature more represents the Arousal value. There are seven (7) rule base models that used in this research, the best accuracy is 0.798.

Original languageEnglish
Title of host publicationICICOS 2019 - 3rd International Conference on Informatics and Computational Sciences
Subtitle of host publicationAccelerating Informatics and Computational Research for Smarter Society in The Era of Industry 4.0, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728146102
DOIs
Publication statusPublished - Oct 2019
Externally publishedYes
Event3rd International Conference on Informatics and Computational Sciences, ICICOS 2019 - Semarang, Indonesia
Duration: 29 Oct 201930 Oct 2019

Publication series

NameICICOS 2019 - 3rd International Conference on Informatics and Computational Sciences: Accelerating Informatics and Computational Research for Smarter Society in The Era of Industry 4.0, Proceedings

Conference

Conference3rd International Conference on Informatics and Computational Sciences, ICICOS 2019
Country/TerritoryIndonesia
CitySemarang
Period29/10/1930/10/19

Keywords

  • MIRToolbox
  • arousal
  • matrices of frequency
  • pcycholinguistic
  • rule based method
  • song emotion detection
  • stylistic
  • valence

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