Abstract: A method for music genre classification includes generating Hidden Markov Models corresponding to a plurality of audio files, and classifying the audio files according to music genres by clustering the audio files based on the similarity between the generated Hidden Markov Models. The generating Hidden Markov Models corresponding to the plurality of audio files includes performing an Independent Component Analysis (ICA) for audio signal generated from respective audio file consisting of the plurality of audio files to generate independent signals corresponding to the audio signal, selecting at least one independent signal as a main signal among the independent signals based on energies of the generated independent signals, extracting an audio feature parameter from the main signal, and generating Hidden Markov Model for the respective audio file based on the extracted audio feature parameter.