Individuality Music Recommendation Model Based on MFCC and GMM

NIU Bin; KONG Ling-zhi; LUO Sen-lin; PAN Li-min; GUO Liang

NIU Bin, KONG Ling-zhi, LUO Sen-lin, PAN Li-min, GUO Liang. Individuality Music Recommendation Model Based on MFCC and GMMJ. Transactions of Beijing institute of Technology, 2009, (4): 351-355.

Citation:

NIU Bin, KONG Ling-zhi, LUO Sen-lin, PAN Li-min, GUO Liang. Individuality Music Recommendation Model Based on MFCC and GMMJ. Transactions of Beijing institute of Technology, 2009, (4): 351-355.

Citation:

NIU Bin, KONG Ling-zhi, LUO Sen-lin, PAN Li-min, GUO Liang. Individuality Music Recommendation Model Based on MFCC and GMMJ. Transactions of Beijing institute of Technology, 2009, (4): 351-355.

Individuality Music Recommendation Model Based on MFCC and GMM

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A personality music recommendation algorithm model based on Mel-frequency cepstrum coefficients(MFCC) and Gaussian mixture model(GMM) is provided. This method extracts MFCC from a certain song as feature parameters, and generates a template of the song using the GMM algorithm. It then gains similar songs from the music library by comparing their templates through similarity. From the experimental result, the correct rate of the song recommendation is 90%.

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Individuality Music Recommendation Model Based on MFCC and GMM

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