State of the Art Report: Music Emotion Recognition: A State of the Art Review

@inproceedings{Kim2010StateOT,
  title={State of the Art Report: Music Emotion Recognition: A State of the Art Review},
  author={Youngmoo E. Kim and Erik M. Schmidt and Raymond Migneco and Brandon G. Morton and Patrick Richardson and Jeffrey J. Scott and Jacquelin A. Speck and Douglas Turnbull},
  booktitle={ISMIR},
  year={2010}
}
This paper surveys the state of the art in automatic emotion recognition in music. Music is oftentimes referred to as a “language of emotion” [1], and it is natural for us to categorize music in terms of its emotional associations. Myriad features, such as harmony, timbre, interpretation, and lyrics affect emotion, and the mood of a piece may also change over its duration. But in developing automated systems to organize music in terms of emotional content, we are faced with a problem that… CONTINUE READING

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