Study on vocal music classification based on convolutional neural network

Siwei Zhu; Xiaochun Pu

doi:10.1117/12.2659599

28 October 2022 Study on vocal music classification based on convolutional neural network

Siwei Zhu, Xiaochun Pu

Proceedings Volume 12453, Third International Conference on Computer Communication and Network Security (CCNS 2022); 124530X (2022) https://doi.org/10.1117/12.2659599
Event: Third International Conference on Computer Communication and Network Security (CCNS 2022), 2022, Hohhot, China

Abstract

With the rapid development of science and technology, the Influence of the Internet on all walks of life in today's society is increasing. All walks of life are using advanced Internet technology to achieve product innovation and upgrading, to find a new way for the sustainable development of the industry. The Internet is playing an increasingly important role in China's education sector. The teaching mode under the network environment represents the latest technology in practice teaching gradually infiltrated and applied teaching, with the support of advanced network technology, education and teaching work has also had new development, vocal music classification research has made great progress. This paper mainly describes the research of vocal music classification based on convolutional neural network, and expounds the research status of vocal music classification. Under the network environment, vocal music teaching has gained more space for development, and more teaching forms gradually appear in the actual teaching work. Therefore, vocal music teachers can be combined with their own actual situation for bold attempt and innovation, try more content. Its purpose is to use the technical power of the Internet to provide students with better vocal music teaching services, so as to better cultivate students' music literacy.

Citation Download Citation

Siwei Zhu and Xiaochun Pu "Study on vocal music classification based on convolutional neural network", Proc. SPIE 12453, Third International Conference on Computer Communication and Network Security (CCNS 2022), 124530X (28 October 2022); https://doi.org/10.1117/12.2659599

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KEYWORDS

Internet

Convolutional neural networks

Video

Convolution

Multimedia

Logic

Machine vision

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