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Proceedings Paper

Robust parameterization of time-frequency characteristics for recognition of musical genres of Mexican culture
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Paper Abstract

The automatic identification and classification of musical genres based on the sound similarities to form musical textures, it is a very active investigation area. In this context it has been created recognition systems of musical genres, formed by time-frequency characteristics extraction methods and by classification methods. The selection of this methods are important for a good development in the recognition systems. In this article they are proposed the Mel-Frequency Cepstral Coefficients (MFCC) methods as a characteristic extractor and Support Vector Machines (SVM) as a classifier for our system. The stablished parameters of the MFCC method in the system by our time-frequency analysis, represents the gamma of Mexican culture musical genres in this article. For the precision of a classification system of musical genres it is necessary that the descriptors represent the correct spectrum of each gender; to achieve this we must realize a correct parametrization of the MFCC like the one we present in this article. With the system developed we get satisfactory detection results, where the least identification percentage of musical genres was 66.67% and the one with the most precision was 100%.

Paper Details

Date Published: 19 September 2017
PDF: 9 pages
Proc. SPIE 10396, Applications of Digital Image Processing XL, 1039635 (19 September 2017); doi: 10.1117/12.2274734
Show Author Affiliations
Osvaldo G. Pérez Rosas, Ctr. de Investigación y Desarrollo de Tecnología Digital (Mexico)
José L. Rivera Martínez, Ctr. de Investigación y Desarrollo de Tecnología Digital (Mexico)
Luis A. Maldonado Cano, Ctr. de Investigación y Desarrollo de Tecnología Digital (Mexico)
Mario López Rodríguez, Ctr. de Investigación y Desarrollo de Tecnología Digital (Mexico)
Laura M. Amaya Reyes, Ctr. de Investigación y Desarrollo de Tecnología Digital (Mexico)
Elizabeth Cano Martínez, Ctr. de Investigación y Desarrollo de Tecnología Digital (Mexico)
Mireya S. García Vázquez, Ctr. de Investigación y Desarrollo de Tecnología Digital (Mexico)
Alejandro A. Ramírez Acosta, MIRAL R&D&I (United States)


Published in SPIE Proceedings Vol. 10396:
Applications of Digital Image Processing XL
Andrew G. Tescher, Editor(s)

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