• DocumentCode
    2894765
  • Title

    Music Mood Classification Using Intro and Refrain Parts of Lyrics

  • Author

    Seungwon Oh ; Minsoo Hahn ; Jinsul Kim

  • Author_Institution
    Digital Media Lab., Korea Adv. Inst. of Sci. & Technol. (KAIST), Daejeon, South Korea
  • fYear
    2013
  • fDate
    24-26 June 2013
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    In this paper, we propose an lyrics-based classification approach. It estimates a mood of a song with only intro and refrain parts of lyrics. In general, the intro part creates a specific atmosphere of a song, and the chorus part is the strongest part of the song. The proposed method detects important features significantly associated with the mood of songs from the both parts. By calculating the similarity between terms of the parts and eight basic emotions, it can classify songs according to mood.
  • Keywords
    emotion recognition; feature extraction; music; pattern classification; text analysis; chorus part; emotion; feature detection; lyrics intro part; lyrics refrain part; lyrics-based classification; music mood classification; song atmosphere; song mood estimation; Accuracy; Atmosphere; Media; Mood; Music; Speech; Speech recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Applications (ICISA), 2013 International Conference on
  • Conference_Location
    Suwon
  • Print_ISBN
    978-1-4799-0602-4
  • Type

    conf

  • DOI
    10.1109/ICISA.2013.6579495
  • Filename
    6579495