• DocumentCode
    3700121
  • Title

    Vector representation of emotion flow for popular music

  • Author

    Chia-Hao Chung;Homer Chen

  • Author_Institution
    National Taiwan University, Taiwan
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The flow of emotion expressed by music through time is a useful feature for music information indexing and retrieval. In this paper, we propose a novel vector representation of emotion flow for popular music. It exploits the repetitive verse-chorus structure of popular music and connects a verse (represented by a point) and its corresponding chorus (another point) in the valence-arousal emotion plane. The proposed vector representation visually gives users a snapshot of the emotion flow of a popular song in an intuitive and instant manner, more effective than the point and curve representations of music emotion flow. Because many other genres also have repetitive music structure, the vector representation has a wide range of applications.
  • Keywords
    "Music","Feature extraction","Training","Instruments","Multiple signal classification","Bridges","Predictive models"
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Signal Processing (MMSP), 2015 IEEE 17th International Workshop on
  • Type

    conf

  • DOI
    10.1109/MMSP.2015.7340797
  • Filename
    7340797