Cepstral coefficients in mel scale proved to be efficient features for speaker and musical instruments recognition. In this paper Long Term Cepstral Coefficients – LTCCs – of solo musical phrases are used as features for identification of individual violins. LTCC represents the envelope of LTAS – Long Term Average Spectrum in linear scale useful to characterize the subtleties’ of violin sound in frequency domain. Results of the classification of 60 instruments are presented and discussed. It was shown, that if the experts’ knowledge is applied to analyze violin sound, the results may be promising.
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