کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
477391 | 700129 | 2012 | 5 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Exploring different approaches for music genre classification
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موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
علوم کامپیوتر (عمومی)
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چکیده انگلیسی
In this letter, we present different approaches for music genre classification. The proposed techniques, which are composed of a feature extraction stage followed by a classification procedure, explore both the variations of parameters used as input and the classifier architecture. Tests were carried out with three styles of music, namely blues, classical, and lounge, which are considered informally by some musicians as being “big dividers” among music genres, showing the efficacy of the proposed algorithms and establishing a relationship between the relevance of each set of parameters for each music style and each classifier. In contrast to other works, entropies and fractal dimensions are the features adopted for the classifications.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Egyptian Informatics Journal - Volume 13, Issue 2, July 2012, Pages 59–63
Journal: Egyptian Informatics Journal - Volume 13, Issue 2, July 2012, Pages 59–63
نویسندگان
Antonio Jose Homsi Goulart, Rodrigo Capobianco Guido, Carlos Dias Maciel,