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Same music file recognition method by using similarity measurement among music feature data

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2008, 13(3), pp.99-106
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

Bokyung Sung 1 Myoungbeom Chung 1 Il Ju, Ko 1

1숭실대학교

Accredited

ABSTRACT

Recently, digital music retrieval is using in many fields (Web portal, audio service site etc). In existing fields, Meta data of music are used for digital music retrieval. If Meta data are not right or do not exist, it is hard to get high accurate retrieval result. Contents based information retrieval that use music itself are researched for solving upper problem. In this paper, we propose Same music recognition method using similarity measurement. Feature data of digital music are extracted from waveform of music using Simplified MFCC (Mel Frequency Cepstral Coefficient). Similarity between digital music files are measured using DTW (Dynamic time Warping) that are used in Vision and Speech recognition fields. We success all of 500 times experiment in randomly collected 1000 songs from same genre for proving of proposed same music recognition method. 500 digital music were made by mixing different compressing codec and bit-rate from 60 digital audios. We proved that similarity measurement using DTW can recognize same music.

Citation status

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