Abstract
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.
Keywords
Turkish
Mel-frequency cepstrum
Deep belief network
Computer science
Artificial intelligence
Speech recognition
Deep learning
Cepstrum
Music information retrieval
Machine learning
Natural language processing
Feature extraction
Linguistics
Musical
Subject Areas
Music and Audio Processing
·Signal Processing ·Physical Sciences
Diverse Musicological Studies
·Music ·Social Sciences
Speech and Audio Processing
·Signal Processing ·Physical Sciences
Citations by Year
2021: 1
2023: 1
2025: 2
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