A Study : Analysis of Music Features for Musical Instrument Recognition and Music Similarity Search

نویسندگان

  • J. Sirisha Devi
  • Murali Krishna
چکیده

Lots of work has been done on speech and speaker recognition. Many technologies were developed for the analysis of speech waveforms. Musical instrument recognition is an important aspect of music information retrieval system. In this paper we analyzed features for musical instruments recognition and a brief study on music similarity. Music similarity search is done by using mel-frequency cepstral coefficients (MFCC), linear predictive coefficients (LPC) and the classifier used is KNearest Neighbor with Dynamic Time Warping.

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تاریخ انتشار 2012