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  • Ký hiệu PL/XG: 398.809
    Nhan đề: Some new results on automatic identification of Vietnamese folk songs cheo and quanho
DDC 398.809
Tác giả CN Chu, Ba Thanh
Nhan đề Some new results on automatic identification of Vietnamese folk songs cheo and quanho
Tóm tắt The paper will present an overview of the classification of music genres that have been performed in Vietnam and abroad. For two types of very popular folk songs of Vietnam such as Cheo and Quanho, the paper describes the dataset and Gaussian Mixture Model (GMM) to perform the experiments on identifying some of these folk songs. The GMM used for experiment with 4 sets of parameters containing Mel Frequency Cepstral Coefficients (MFCC), energy, the first and the second derivatives of MFCC and energy, tempo, intensity, and fundamental frequency. The results showed that the parameters added to the MFCCs contributed significantly to the improvement of the identification accuracy with the appropriate values of Gaussian component number M. Our experiments also showed that, on average, the length of the excerpts was only 29.63% of the whole song for Cheo and 38.1% of the whole song for Quanho, the identification rate was only 3.1% and 2.33% less than the whole song for Cheo and Quanho, respectively. The identification of Cheo and Quanho was also tested with i-vectors.
Từ khóa tự do Excerpt
Từ khóa tự do Folk songs
Từ khóa tự do Vietnamese
Từ khóa tự do Identification
Tác giả(bs) CN Nguyen, Hong Quang
Tác giả(bs) CN Trinh, Van Loan
Nguồn trích Tạp chí Tin học và Điều khiển học = Journal of Computer Science And Cybernetics 2020tr. 32-52 Số: 04 Tập: 36
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040 |aACTVN
041 |avie
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082 |a398.809
10010|aChu, Ba Thanh
245 |aSome new results on automatic identification of Vietnamese folk songs cheo and quanho
520 |aThe paper will present an overview of the classification of music genres that have been performed in Vietnam and abroad. For two types of very popular folk songs of Vietnam such as Cheo and Quanho, the paper describes the dataset and Gaussian Mixture Model (GMM) to perform the experiments on identifying some of these folk songs. The GMM used for experiment with 4 sets of parameters containing Mel Frequency Cepstral Coefficients (MFCC), energy, the first and the second derivatives of MFCC and energy, tempo, intensity, and fundamental frequency. The results showed that the parameters added to the MFCCs contributed significantly to the improvement of the identification accuracy with the appropriate values of Gaussian component number M. Our experiments also showed that, on average, the length of the excerpts was only 29.63% of the whole song for Cheo and 38.1% of the whole song for Quanho, the identification rate was only 3.1% and 2.33% less than the whole song for Cheo and Quanho, respectively. The identification of Cheo and Quanho was also tested with i-vectors.
653 |aExcerpt
653 |aFolk songs
653 |aVietnamese
653 |aIdentification
700 |aNguyen, Hong Quang
700 |aTrinh, Van Loan
7730 |tTạp chí Tin học và Điều khiển học = Journal of Computer Science And Cybernetics |d2020|gtr. 32-52|x1813-9663|v36|i04
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