The Journal of the Acoustical Society of Korea

The Acoustical Society of Korea (한국음향학회)
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Music Similarity Search Based on Music Emotion Classification

  • Published : 2007.12.31
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Abstract

This paper presents an efficient algorithm to retrieve similar music files from a large archive of digital music database. Users are able to navigate and discover new music files which sound similar to a given query music file by searching for the archive. Since most of the methods for finding similar music files from a large database requires on computing the distance between a given query music file and every music file in the database, they are very time-consuming procedures. By measuring the acoustic distance between the pre-classified music files with the same type of emotion, the proposed method significantly speeds up the search process and increases the precision in comparison with the brute-force method.

Keywords

References

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