Musical Genre Classification by Instrumental Features
Zhu Jia-jun, Xiangyang Xue, Hong Lu · 2004
Automatic musical genre classification is very useful for many musical applications. In this paper, the features of instrument distribution and instrument-based notes are proposed to represent the high-level characteristics of music. Experimental results show that the proposed features have a good performance in musical genre classification. Comparison between our proposed features with the commonly used features--- Mel-Frequency Cepstral Coefficients (MFCC) and MFCC with energy term illustrates that our proposed features perform better in discriminating some musical genres, such as Pop, Jazz, and Rock. 1