Music Instrument Identification Using MFCC: Erhu as an Example
نویسندگان
چکیده
In the analysis of musical acoustics, we usually use the power spectrum to describe the difference between timbres from two music instruments. However, according to our experiments, the power spectrum cannot be used as effective features for erhu instrument identification. In this paper, we use MFCC (mel-scale frequency cepstral coefficients) as features for music instrument identification using GMM (Gaussian mixture models); the result is very encouraging. MFCC and GMM are commonly used in speech/speaker recognition with success. This paper demonstrates that MFCC and GMM can also be used for erhu instrument identification. Immediate extension of the current work includes MFCC-based music instrument assessment and music acoustic analysis.
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