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The automatic description of music from traditions that do not follow the Western notation and theory needs specifically designed tools. We investigate here the makams, which are scales in the modal music of Arabic and Middle East regions. We evaluate two approaches for FODVVLI\LQJ PXVLFDO SLHFHV IURP WKH µPDNDP ZRUOG ¶ according to their scale, by using(More)
In this paper we propose a method for singing voice detection in popular music recordings. The method is based on statistical learning of spectral features extracted from the audio tracks. In our method we use Mel Frequency Cepstrum Coefficients (MFCC) to train two Gaussian Mixture Models (GMM). Special attention is brought to our novel approach for(More)
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