Tonic and scale recognition in Persian audio musical signals


This paper proposes methods for computational identification of the tonic and scale in Persian audio musical signals. The chroma, a simplified spectrum is taken as the feature set and Bit-masking and Manhattan distance are used as the classifiers. The results are applicable to various musical traditions in the Mediterranean and the Near East. This approach enables content-based analysis of, and content-based searches of, musical archives.

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@article{Heydarian2014TonicAS, title={Tonic and scale recognition in Persian audio musical signals}, author={Peyman Heydarian and Lewis A. Jones}, journal={2014 12th International Conference on Signal Processing (ICSP)}, year={2014}, pages={18-21} }