Skip to content
Publish & Distribute
Publishing Solutions
Distribution Solutions
Library Services
Subjects
Architecture and Design
Arts
Business and Economics
Chemistry
Classical and Ancient Near Eastern Studies
Computer Sciences
Cultural Studies
Engineering
General Interest
Geosciences
History
Industrial Chemistry
Jewish Studies
Law
Library and Information Science, Book Studies
Life Sciences
Linguistics and Semiotics
Literary Studies
Materials Sciences
Mathematics
Medicine
Music
Pharmacy
Philosophy
Physics
Social Sciences
Sports and Recreation
Theology and Religion
Publications
Journals
Books
Proceedings
Publishers
Journal Matcher
Blog
Contact
Search
English
English
Deutsch
Polski
Español
Français
Italiano
Cart
Home
Journals
Applied Mathematics and Nonlinear Sciences
Volume 9 (2024): Issue 1 (January 2024)
Open Access
Emotional Characterization Mining in Music Performance and Its Guiding Role
Jie Yan
Jie Yan
College of Music and Dance, Henan Normal University
Xinxiang, China
Search for this author on
Sciendo
|
Google Scholar
Yan, Jie
and
Mingzhao Hu
Mingzhao Hu
College of Education, Henan Normal University
Xinxiang, China
Search for this author on
Sciendo
|
Google Scholar
Hu, Mingzhao
Jun 03, 2024
Applied Mathematics and Nonlinear Sciences
Volume 9 (2024): Issue 1 (January 2024)
About this article
Previous Article
Next Article
Abstract
References
Authors
Articles in this Issue
Preview
PDF
Cite
Share
Download Cover
Published Online:
Jun 03, 2024
Received:
Feb 05, 2024
Accepted:
Apr 18, 2024
DOI:
https://doi.org/10.2478/amns-2024-1325
Keywords
Wldnn network
,
Activation function
,
GAN network
,
Emotional features
,
Music performance
© 2024 Jie Yan, et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.