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文章基本信息

  • 标题:CRFs in Music Chord Recognition Algorithm Application Research
  • 本地全文:下载
  • 作者:Wang, Feng ; Zhang, Xueying
  • 期刊名称:Journal of Computers
  • 印刷版ISSN:1796-203X
  • 出版年度:2013
  • 卷号:8
  • 期号:4
  • 页码:1016-1019
  • DOI:10.4304/jcp.8.4.1016-1019
  • 语种:English
  • 出版社:Academy Publisher
  • 摘要:In this paper, five different methods in music recognition are discussed, a new character MPCP is proposed in Chord Recognition. The new character overcome the limitation of the traditional PCP and MFCC, apply for recognition system by combining both characteristics. For features we use MPCP vectors, it is trained by CRFs, finally we acquired accurate chords by Viterbi.The experiment show that the proposed strategy can reach a good performance in chord recognition and proved our strategy to be quite promising.
  • 关键词:chord recognition;Pitch class Profile (PCP);Mel PCP;Mel Frequency Cepstrum Coefficient (MFCC);Conditional Random Fieids (CRFs)
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