Analysis of Tibetan Folk Music Style Based on Audio Signal Processing

Ma Ying; Li Kaiyong; Hou Jiayu; Ga Zangjia

doi:doi:10.11648/j.jeee.20190706.13

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Analysis of Tibetan Folk Music Style Based on Audio Signal Processing

Ma Ying, Li Kaiyong, Hou Jiayu, Ga Zangjia

Published in Journal of Electrical and Electronic Engineering (Volume 7, Issue 6)

Received: 11 November 2019 Published: 3 December 2019

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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.

Published in	Journal of Electrical and Electronic Engineering (Volume 7, Issue 6)
DOI	10.11648/j.jeee.20190706.13
Page(s)	151-154
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2019. Published by Science Publishing Group

Keywords

National Folk Music, Extraction of Music Features , Classification of Music, Short-term Energy, Short-term Zero-crossing Rate

References

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[6]	Sun ke. Research on feature extraction and classification of Chinese national music [D]. Donghua university，2017.
[7]	Feng Shang, Xu Zhongliang, Ma Lin, Li Haifeng. Study on the sparse analysis method of music signals [J]. Journal of Fudan University (Natural Science), 2018, 57 (03): 328-334.
[8]	Xu Jincai. Research on audio signal separation based on deep neural network [D]. Beijing University of Posts and Telecommunications, 2018.
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[11]	Qin Jing. Research and application of music retrieval technology based on content and semantics [D]. Dalian University of Technology, 2018.
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APA Style

Ma Ying, Li Kaiyong, Hou Jiayu, Ga Zangjia. (2019). Analysis of Tibetan Folk Music Style Based on Audio Signal Processing. Journal of Electrical and Electronic Engineering, 7(6), 151-154. https://doi.org/10.11648/j.jeee.20190706.13

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ACS Style

Ma Ying; Li Kaiyong; Hou Jiayu; Ga Zangjia. Analysis of Tibetan Folk Music Style Based on Audio Signal Processing. J. Electr. Electron. Eng. 2019, 7(6), 151-154. doi: 10.11648/j.jeee.20190706.13

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AMA Style

Ma Ying, Li Kaiyong, Hou Jiayu, Ga Zangjia. Analysis of Tibetan Folk Music Style Based on Audio Signal Processing. J Electr Electron Eng. 2019;7(6):151-154. doi: 10.11648/j.jeee.20190706.13

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@article{10.11648/j.jeee.20190706.13,
  author = {Ma Ying and Li Kaiyong and Hou Jiayu and Ga Zangjia},
  title = {Analysis of Tibetan Folk Music Style Based on Audio Signal Processing},
  journal = {Journal of Electrical and Electronic Engineering},
  volume = {7},
  number = {6},
  pages = {151-154},
  doi = {10.11648/j.jeee.20190706.13},
  url = {https://doi.org/10.11648/j.jeee.20190706.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jeee.20190706.13},
  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.},
 year = {2019}
}

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TY  - JOUR
T1  - Analysis of Tibetan Folk Music Style Based on Audio Signal Processing
AU  - Ma Ying
AU  - Li Kaiyong
AU  - Hou Jiayu
AU  - Ga Zangjia
Y1  - 2019/12/03
PY  - 2019
N1  - https://doi.org/10.11648/j.jeee.20190706.13
DO  - 10.11648/j.jeee.20190706.13
T2  - Journal of Electrical and Electronic Engineering
JF  - Journal of Electrical and Electronic Engineering
JO  - Journal of Electrical and Electronic Engineering
SP  - 151
EP  - 154
PB  - Science Publishing Group
SN  - 2329-1605
UR  - https://doi.org/10.11648/j.jeee.20190706.13
AB  - 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.
VL  - 7
IS  - 6
ER  -

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Author Information

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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Plain Text BibTeX RIS

APA Style

Ma Ying, Li Kaiyong, Hou Jiayu, Ga Zangjia. (2019). Analysis of Tibetan Folk Music Style Based on Audio Signal Processing. Journal of Electrical and Electronic Engineering, 7(6), 151-154. https://doi.org/10.11648/j.jeee.20190706.13

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ACS Style

Ma Ying; Li Kaiyong; Hou Jiayu; Ga Zangjia. Analysis of Tibetan Folk Music Style Based on Audio Signal Processing. J. Electr. Electron. Eng. 2019, 7(6), 151-154. doi: 10.11648/j.jeee.20190706.13

Copy | Download

AMA Style

Ma Ying, Li Kaiyong, Hou Jiayu, Ga Zangjia. Analysis of Tibetan Folk Music Style Based on Audio Signal Processing. J Electr Electron Eng. 2019;7(6):151-154. doi: 10.11648/j.jeee.20190706.13

Copy | Download

@article{10.11648/j.jeee.20190706.13,
  author = {Ma Ying and Li Kaiyong and Hou Jiayu and Ga Zangjia},
  title = {Analysis of Tibetan Folk Music Style Based on Audio Signal Processing},
  journal = {Journal of Electrical and Electronic Engineering},
  volume = {7},
  number = {6},
  pages = {151-154},
  doi = {10.11648/j.jeee.20190706.13},
  url = {https://doi.org/10.11648/j.jeee.20190706.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jeee.20190706.13},
  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.},
 year = {2019}
}

Copy | Download

TY  - JOUR
T1  - Analysis of Tibetan Folk Music Style Based on Audio Signal Processing
AU  - Ma Ying
AU  - Li Kaiyong
AU  - Hou Jiayu
AU  - Ga Zangjia
Y1  - 2019/12/03
PY  - 2019
N1  - https://doi.org/10.11648/j.jeee.20190706.13
DO  - 10.11648/j.jeee.20190706.13
T2  - Journal of Electrical and Electronic Engineering
JF  - Journal of Electrical and Electronic Engineering
JO  - Journal of Electrical and Electronic Engineering
SP  - 151
EP  - 154
PB  - Science Publishing Group
SN  - 2329-1605
UR  - https://doi.org/10.11648/j.jeee.20190706.13
AB  - 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.
VL  - 7
IS  - 6
ER  -

Copy | Download