Segmentation of Music Using Physiological Data

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概要

• 論文の詳細を見る

• Automated segmentation of music is currently performed using music features related to rhythm, timbre and harmony. A method for segmenting music by clustering physiological data is presented in this paper. Results are compared against manual segmentation of a song list of 24 songs. Standard classes to clusters evaluation method is used to determine accuracy of clustering. Best results from the experiments use features related to blood volume pulse (BVP).

• 2011-02-04

著者

• Rafael Cabredo

  The Institute of Scientific and Industrial Research, Osaka University

• Roberto Legaspi

  The Institute of Scientific and Industrial Research, Osaka University

• Masayuki Numao

  The Institute of Scientific and Industrial Research, Osaka University

• Masayuki Numao

  The Institute Of Scientific And Industrial Research Osaka University

• Rafael Cabredo

  The Institute Of Scientific And Industrial Research Osaka University

• Roberto Legaspi

  The Institute Of Scientific And Industrial Research Osaka University

• Numao Masayuki

  Institute Of Scientific And Industrial Research Osaka University

関連論文

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