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There has been an interest in signal processing, which can be defined as speech processing. Nowadays, studies on health disease increase. Some diseases are distinguished from voice of patients. Parkinson patients can be an example for this situation. Collected samples are analyzed to extract the feature vectors. Each feature refers the specific information about data. In this study, some features...
Automatic classification of makams from sound data is a challenging yet rarely studied topic. In this work, it is aimed to develop an MIR system which determines a song's makam. To overcome this problem, mel frequency cepstral coefficients were utilized as features. Five classifiers were considered. The best result was obtained by deep belief network as 93.10 which is comparable to the recent works.
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