A context-based emotion-analyzer for teaching tonality in music courses

Aya Ichinose, Shuichi Kurabayashi, Yasushi Kiyoki

研究成果: Conference contribution

抄録

This paper presents a context-based emotion-analyzer dedicated for supporting to learn tonality in music courses. This emotion-analyzer realizes a new music retrieval environment to find and visualize music items with considering genre dependent perceptual preference of music. This system generates emotive annotations for music by analyzing tonality along with a timeline. The system helps users to identify music tonality from the viewpoint of emotions. Tonality is a musical system that is constructed by sound elements, such as harmonies and melodies. Change of tonality causes change of impression. This system realizes an automatic time-duration selector that detects repetitions and bridges by analyzing physical and structural music features, such as pitch and tonality. This system enables users to submit emotive keywords as a query for retrieving music according to the impressive changes in each musical piece. This paper shows a prototype system that searches MIDI music files by analyzing them automatically. This paper also shows several experimental results for clarifying the feasibility of the system.

本文言語English
ホスト出版物のタイトルProceedings of the IASTED International Conference on Technology for Education, TE 2011
ページ37-45
ページ数9
DOI
出版ステータスPublished - 2011 12 1
イベントIASTED International Conference on Technology for Education, TE 2011 - Dallas, TX, United States
継続期間: 2011 12 142011 12 16

出版物シリーズ

名前Proceedings of the IASTED International Conference on Technology for Education, TE 2011

Conference

ConferenceIASTED International Conference on Technology for Education, TE 2011
国/地域United States
CityDallas, TX
Period11/12/1411/12/16

ASJC Scopus subject areas

  • 教育

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