An empirical model for clustering and classification of instrumental music using machine learning technique

To extract implicit knowledge and data relationships from the audio and audio similarity measure, this paper uses the audio mining techniques. A model for audio clustering and classification technique is proposed. Neural networks are used for classifying the data. The working prototype of the Music classification system has been developed and tested in MATLAB 6.5 using the signal Processing Toolbox under Windows XP operating system in a normal Pentium range of desktop computer.