Volume 8 Number 4 (Apr. 2013)
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JCP 2013 Vol.8(4): 1016-1019 ISSN: 1796-203X
doi: 10.4304/jcp.8.4.1016-1019

Research on CRFs in Music Chord Recognition Algorithm

Feng Wang and Xueying Zhang
College of Information Engineering, Taiyuan University of Technology Taiyuan, China

Abstract—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.

Index Terms—chord recognition, Pitch class Profile (PCP), Mel PCP, Mel Frequency Cepstrum Coefficient (MFCC), Conditional Random Fieids (CRFs)

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Cite: Feng Wang and Xueying Zhang, " Research on CRFs in Music Chord Recognition Algorithm," Journal of Computers vol. 8, no. 4, pp. 1016-1019, 2013.

General Information

ISSN: 1796-203X
Abbreviated Title: J.Comput.
Frequency: Bimonthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat, CNKI,etc
E-mail: jcp@iap.org
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