Analysis of Tibetan Folk Music Style Based on Audio Signal Processing
Journal of Electrical and Electronic Engineering
Volume 7, Issue 6, December 2019, Pages: 151-154
Received: Dec. 2, 2019; Published: Dec. 3, 2019
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Authors
Ma Ying, National Experimental Teaching Demonstration Center of Communication Engineering, Qinghai University for Nationalities, Xining, China
Li Kaiyong, National Experimental Teaching Demonstration Center of Communication Engineering, Qinghai University for Nationalities, Xining, China
Hou Jiayu, National Experimental Teaching Demonstration Center of Communication Engineering, Qinghai University for Nationalities, Xining, China
Ga Zangjia, National Experimental Teaching Demonstration Center of Communication Engineering, Qinghai University for Nationalities, Xining, China
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Abstract
National folk music has different styles, has extremely strong regional and national characteristics, and has a high cultural and artistic value. It carries the profound connotation of national culture. Music has non-semantic symbolicity and strong ambiguity, which makes the related research topics of music signals more challenging than speech signals. With the rapid increase of the number of digital music, due to the complexity of music itself, the ambiguity of the definition of the category of music and the limitation of the understanding of the characteristics of human auditory perception, Therefore, the analysis of the characteristics of folk music is a prerequisite for realizing the rapid and effective retrieval of folk music resources, and plays an important role in audio signal processing. However, there are few studies on the classification and information extraction of folk music. The article is based on the St-EN and St-ZCR feature extraction of the three styles of music in Aze, Le, and playing and singing in Amdo Tibetan folk music. Three kinds of musical styles have adopted a time-domain analysis is briefly analyzed Amdo Tibetan folk music signal, by extracting signal features music, We can find short-term energy than the short-time average zero-crossing rate of all types of music more clearly reflect the unique characteristics of the signal.
Keywords
National Folk Music, Extraction of Music Features , Classification of Music, Short-term Energy, Short-term Zero-crossing Rate
To cite this article
Ma Ying, Li Kaiyong, Hou Jiayu, Ga Zangjia, Analysis of Tibetan Folk Music Style Based on Audio Signal Processing, Journal of Electrical and Electronic Engineering. Vol. 7, No. 6, 2019, pp. 151-154. doi: 10.11648/j.jeee.20190706.13
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