Proceedings of the 7th International Conference on Education, Management, Information and Computer Science (ICEMC 2017)

The Research on the Singing Voice Timbre of the Eastern Yugur Traditional Folk Songs

Authors
Lyu Shiliang
Corresponding Author
Lyu Shiliang
Available Online June 2016.
DOI
10.2991/icemc-17.2017.77How to use a DOI?
Keywords
Yugur traditional folk songs; Singer's formant; Pitch frequency; Acoustic analysis
Abstract

The Yugur folk songs with distinctive ethnic characteristics. Traditional folk songs retain more features of minority folk songs, and have important research value and cultural value. The eastern folk songs due to historical and geographical factors, and in the process of language integration, with the influence of Mongolian folk songs, the folk songs produced unique singing characteristics. This paper uses the research the method of speech acoustics, research on Eastern Yugur traditional folk songs singing voice timbre, including two aspects of singer's formant and singing voice frequency characteristics. The study concluded that the folk songs singing timbre features and singer singing characteristics.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 7th International Conference on Education, Management, Information and Computer Science (ICEMC 2017)
Series
Advances in Computer Science Research
Publication Date
June 2016
ISBN
10.2991/icemc-17.2017.77
ISSN
2352-538X
DOI
10.2991/icemc-17.2017.77How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Lyu Shiliang
PY  - 2016/06
DA  - 2016/06
TI  - The Research on the Singing Voice Timbre of the Eastern Yugur Traditional Folk Songs
BT  - Proceedings of the 7th International Conference on Education, Management, Information and Computer Science (ICEMC 2017)
PB  - Atlantis Press
SP  - 391
EP  - 396
SN  - 2352-538X
UR  - https://doi.org/10.2991/icemc-17.2017.77
DO  - 10.2991/icemc-17.2017.77
ID  - Shiliang2016/06
ER  -