Dense dynamic convolutional network for Bel canto vocal technique assessment

Dense dynamic convolutional network for Bel canto vocal technique assessment

Abstract The Bel Canto performance is a complex and multidimensional art form encompassing pitch, timbre, technique, and affective expression. To accurately reflect a performer’s singing proficiency, it is essential to quantify and evaluate their vocal technical execution precisely. Convolutional Ne...

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Main Authors: Zhenyi Hou, Xu Zhao, Shanggerile Jiang, Daijun Luo, Xinyu Sheng, Kaili Geng, Kejie Ye, Jiajing Xia, Yitao Zhang, Chenxi Ban, Jiaxing Chen, Yan Zou, Yuchao Feng, Xin Yuan, Guangyu Fan
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:Scientific Reports
Subjects:
Vocal education
Vocal technique assessment
Deep learning
Online Access:https://doi.org/10.1038/s41598-025-98726-1
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https://doi.org/10.1038/s41598-025-98726-1

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