The Sustainable Development of Intangible Cultural Heritage with AI: Cantonese Opera Singing Genre Classification Based on CoGCNet Model in China

Chen, Qiao; Zhao, Wenfeng; Wang, Aiqin; Zhao, Yawen

doi:10.3390/su14052923

Cited by 22 publications

(11 citation statements)

References 23 publications

(19 reference statements)

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“…Meanwhile, to analyze the recognition performance of the constructed model, it is compared with the algorithms applied by other scholars in related elds. LSTM [31], CNN [32], DNN [33], and the model designed by Chen et al ( 2022) [34] are selected for comparative analysis from the perspectives of Accuracy and F1 value.…”

Section: Resultsmentioning

confidence: 99%

Creation Techniques and Styles of Chinese Piano Works Supported by Edge Cloud Computing Technology

Liu

2022

Preprint

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The purpose is to explore the application of the deep learning (DL) algorithm and edge cloud computing technology in the creation and innovation of Chinese piano music, understand the development history of Chinese piano music, the evolution of creative techniques, style characteristics, and innovation. Firstly, on the basis of the combination of traditional and modern techniques, using scientific research methods such as surveys and documents, a preliminary discussion and arrangement of a large number of piano music works are carried out from the three aspects of creation characteristics, techniques, and styles. Secondly, according to the characteristics of edge cloud computing technology, the application and embodiment of this technology in Chinese piano music creation and innovation are explained. Moreover, the DL algorithm is further introduced and improved to implement the piano music creation technique and style recognition model based on the Convolution, Long-short Term Memory, and Deep Neural Network (CLDNN) algorithm. Finally, the performance of the constructed model is analyzed through comparative experiments. The results reveal that by sorting relevant literature, the five major periods of Chinese piano music experience and a large number of classic piano repertoires can be clearly sorted out. It can be understood that piano music creation techniques and style changes will be an endless process, requiring more arduous learning by composers and theorists. Further analysis of the constructed model denotes that the recognition accuracy of the proposed model algorithm reaches 91.33%, which is obviously better than other algorithms. Therefore, the integration of the DL algorithm and other methods has certain research significance for exploring the creative techniques and style innovation of Chinese piano works.

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Section: Resultsmentioning

confidence: 99%

Creation Techniques and Styles of Chinese Piano Works Supported by Edge Cloud Computing Technology

Liu

2022

Preprint

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“…The proposed algorithm principally employs CNN to extract and classify image features [ 46 ]. The structure of the CNN is revealed in Fig.…”

Section: Research Modelmentioning

confidence: 99%

Application interface design of Chongqing intangible cultural heritage based on deep learning

Liu,

Cheng,

2023

Heliyon

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“…After that, the scaffolding is removed, and students are allowed to learn on their own. Teachers should explore the content, types, and construction methods of writing scaffolds in depth so that students can gradually break through the "zone of nearest development" and improve their writing ability [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Research on Optimizing the Teaching Reform of College Opera Courses Based on Scaffolding Theory

Wang,

Miao,

Hou

2024

Applied Mathematics and Nonlinear Sciences

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Chinese opera has a long history and unique charm and is an important carrier of traditional Chinese culture. So, the teaching requirements for opera courses have gradually increased to ensure the vigorous development and inheritance of opera culture. To adapt to the reform and development of opera course teaching, this paper analyzes the basic concepts of scaffolding theory. It constructs an optimized framework for teaching modes based on scaffolding theory. On this basis, combined with the needs of college opera courses, it builds the framework of the opera teaching system based on scaffolding theory. It proposes the unique “modern teacher-apprentice system” based on the studio for the teaching mode of opera. Through the empirical analysis of teaching opera courses in colleges and universities based on the scaffolding theory, it can be seen that in the teaching of nine types of opera, including Beijing opera, Sichuan opera, Gui opera, Kunqu opera, Huangmei opera, Yueju opera, Cantonese opera, Yu opera, and Flower Drum Opera, the learning effect of this paper’s teaching of opera courses improves by 0.37~1.1 points compared with that of the traditional teaching of opera. The student’s ability in all dimensions improves by an average of 1.087 points. In addition, during the analysis of teaching satisfaction, the average score of learning satisfaction was 1.037, indicating that students acknowledged the reform of teaching opera in this paper. This study has significant results in the reform of teaching opera courses, which provides a reference value for the reform of opera courses in colleges and universities.

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The Sustainable Development of Intangible Cultural Heritage with AI: Cantonese Opera Singing Genre Classification Based on CoGCNet Model in China

Cited by 22 publications

References 23 publications

Creation Techniques and Styles of Chinese Piano Works Supported by Edge Cloud Computing Technology

Creation Techniques and Styles of Chinese Piano Works Supported by Edge Cloud Computing Technology

Application interface design of Chongqing intangible cultural heritage based on deep learning

Research on Optimizing the Teaching Reform of College Opera Courses Based on Scaffolding Theory

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