College of Information Engineering, Taiyuan University of Technology Taiyuan, China

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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.