Abstract
This paper first studies the universal standards of subjective timbre evaluation in vocal music performance, and then discusses how to quantify and code these standards to input into intelligent objective evaluation software. This paper briefly describes the working principle and implementation method of the core algorithm in the software, as well as the final test results. The core of this paper is to establish the relationship between subjective evaluation and machine objective evaluation, so that the intelligent evaluation results of vocal music can meet the subjective evaluation standards, so as to further promote the accuracy and practicability of the intelligent evaluation system of vocal music.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Aro, H., Mang, L.: Application of timbre evaluation criteria in objective evaluation software algorithm in vocal music singing. Voice Yellow River (11), 61–63 (2017)
Yueqin, C.: National vocal music teaching strategies in Colleges and Universities under the multicultural environment. Grand View (Forum) 10, 111–112 (2020)
Zhaozhe, H.: Research on Chinese traditional music teaching in multicultural environment. Comedy World (Second Half Month) 09, 14–15 (2020)
Jie, G.: Research on the development of Shaanxi art songs in the multicultural environment. Tomorrow Fashion 17, 95–96 (2020)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Li, W. (2021). Multi-objective Evaluation Software Algorithm for Timbre. In: Abawajy, J., Xu, Z., Atiquzzaman, M., Zhang, X. (eds) 2021 International Conference on Applications and Techniques in Cyber Intelligence. ATCI 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 81. Springer, Cham. https://doi.org/10.1007/978-3-030-79197-1_103
Download citation
DOI: https://doi.org/10.1007/978-3-030-79197-1_103
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-79196-4
Online ISBN: 978-3-030-79197-1
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)