Proceedings of the 2016 International Conference on Economy, Management and Education Technology

Application of National Opera Singing Techniques on Vocal Music

Authors
Jing Li
Corresponding Author
Jing Li
Available Online May 2016.
DOI
https://doi.org/10.2991/icemet-16.2016.80How to use a DOI?
Keywords
National Vocal Music; Traditional Opera; Singing Skills; "Mei Lanfang"
Abstract

In recent years, the traditional opera singing skills in Chinese folk song singing is research subject of common concern. Taking songs "Mei Lanfang" for example, the work in the multi-dimensional analysis of Humanistic interpretation and creation techniques, in order to witness the personal experience to explain the singing process understanding and interpretation, in the grasp of national vocal music and traditional Chinese opera singing commonness and individuality, based on the "Tunes" and "performance" and other aspects of a more intensive focus on exploration.

Copyright
© 2016, 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 2016 International Conference on Economy, Management and Education Technology
Series
Advances in Social Science, Education and Humanities Research
Publication Date
May 2016
ISBN
978-94-6252-193-3
ISSN
2352-5398
DOI
https://doi.org/10.2991/icemet-16.2016.80How to use a DOI?
Copyright
© 2016, 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  - Jing Li
PY  - 2016/05
DA  - 2016/05
TI  - Application of National Opera Singing Techniques on Vocal Music
BT  - Proceedings of the 2016 International Conference on Economy, Management and Education Technology
PB  - Atlantis Press
SP  - 386
EP  - 390
SN  - 2352-5398
UR  - https://doi.org/10.2991/icemet-16.2016.80
DO  - https://doi.org/10.2991/icemet-16.2016.80
ID  - Li2016/05
ER  -