Title :
Research of Chord Recognition based on MPCP
Author :
Feng, Wang ; Zhang, Xue-ying ; Li, Bing-nan
Author_Institution :
Coll. of Inf. Eng., Taiyuan Univ. of Technol., 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 HMM, estimated parameters by Baum-Welch algorithm, finally we acquired accurate chords by Viterbi. The experiment show that the new character perform over than PCP and MFCC for Chord Recognition.
Keywords :
acoustic signal processing; hidden Markov models; music; Baum-Welch algorithm; chord recognition; hidden Markov model; mel frequency cepstrum coefficient; music recognition system; Cepstrum; Character recognition; Educational institutions; Frequency conversion; Hidden Markov models; Investments; Mel frequency cepstral coefficient; Parameter estimation; Text recognition; Viterbi algorithm; Hidden Markov Model(HMM); Mel Frequency Cepstrum Coefficient (MFCC); Mel PCP; Pitch class Profile(PCP); chord recognition;
Conference_Titel :
Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-5585-0
Electronic_ISBN :
978-1-4244-5586-7
DOI :
10.1109/ICCAE.2010.5451773
