| Summary: | 碩士 === 國立中央大學 === 通訊工程學系在職專班 === 103 === The separation of mixed sources is a challenging task. Music separation can be applied to simulation instruments, phoneme post-production, and music retrieval, and so on. Although the method of average harmonic structure (AHS) has been applied to separate the mixed music, its method is complicated and takes time. In this thesis, the mixed signals were first taken by fast Fourier transform for frequency analysis. Since each instrument has its own specific harmonic structure, that is, the ratio of the power between the harmonic signals and the fundamental signal is constant, a new factor, total harmonic to signal ratio (THSR), is proposed to separate the mixed monophonic source. Because the factor of THSR is a scalar, the procedure of mixed sources separation can thus be simplified. However, due to the harmonic structure instability and the resolution of frequency analysis, the factor THSR may be biased as being produced. A Bayes classifier was further applied to reduce the probability of error-classification.
MATLABwas applied for simulation. The separated music can hear clearly. Furthermore, from the Cool Edittool and EAQUAL, we can obtain similar results of classification, compared with the results by the method of AHS. In other words, this thesis provides a simple but effective method to separate the mixed sources.
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