Change of Hakka Opera: Ethnicity and Creation in Hakka Musical and Hakka TV Drama

Tuan, Iris H.

doi:10.1007/978-981-10-8609-0_6

Cited by 3 publications

(3 citation statements)

References 4 publications

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“…It has achieved many positive research results [7]. Few scholars have proposed that using opera art's implicit and explicit educational characteristics in college education is conducive to better-completing opera art creation [8]. e study of opera art involves explaining opera knowledge in class, appreciating famous opera masters, telling opera story plots, and analyzing the inner meaning of opera.…”

Section: Related Workmentioning

confidence: 99%

Creation of Drama Art Based on Deep Learning and Evolution Strategy

Tang

2022

Scientific Programming

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The rapid development of information technology has promoted the growth of deep learning, artificial intelligence, and big data technology. Nowadays, the artistic form of traditional opera creation is accepted and respected by people—more and more people like the art form. However, the artistic creation of traditional opera needs inspiration. The essence of inspiration creation is to reconstruct its objective structure. The deep learning algorithm’s essence is to extract all of the attributes of sample self-learning input data and use them as inspiration for artistic production. First, this paper briefly introduces the deep learning and evolution strategy and uses these algorithms in opera art creation to construct 1 + λ. With the help of this evolutionary algorithm, an optimal solution is obtained through random evolution. The evolution strategy establishes the evolution function matrix. Starting from the situation of students learning opera art, this article examines the process of creating opera art using an in-depth learning and evolution technique. The results show that 96 percent of the students have contact with opera while watching an opera tour. During this, they were not interested in the performance of literary drama in traditional opera. However, it was noticed that they were deeply interested in martial arts, clown performances, and drama stage performances. Finally, the audience group of opera artistic creation is analyzed in the form of opera animation of “A Journey to the West: The Return of the Great Sage.” It signifies that the opera’s leading audience group is aged 25 to 29. However, they account for only 30 percent.

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Section: Related Workmentioning

confidence: 99%

Creation of Drama Art Based on Deep Learning and Evolution Strategy

Tang

2022

Scientific Programming

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“…"Shiping Folk Songs" are classified as rudimentary traditional music and are predominantly prevalent in the hilly areas of southern Sichuan, where the Hakka ethnic group is concentrated. The Ministry of Culture formally categorized them as "South Sichuan Folk Songs" in 2008, acknowledging their importance (Tang, 2022;Sha et al, 2022).The migration of the Hakka people to Sichuan during the Qing Dynasty led to the dissemination of "Shiping Mountain Song" in the southern districts of Sichuan, creating a historical tradition that spans over 400 years. The Hakka community in Sichuan predominantly comprises Hakka individuals originating from Guangdong, Fujian, and Jiangxi provinces.…”

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confidence: 99%

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confidence: 99%

Preservation of Shiping Folk Songs in Weiyuan County, China

Gong,

Chonpairot,

Seekhunlio

2024

IJELS

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This comprehensive study focuses on the preservation of Shiping Folk Songs in Weiyuan County, China, with an emphasis on education, literacy, and the critical role of diverse stakeholders. The study emphasizes the region’s cultural relevance as well as educational programs, highlighting the critical role of schools in promoting cultural literacy and ensuring the preservation of Shiping Folk Songs. In addition, the research investigates the roles of Hakka folk musicians and singers in the transmission and development of this national folk music tradition. Government policy and assistance have been recognized as critical components for managing budgetary restrictions and executing preservation and development programs. The participation of local higher education institutions and cultural research units in the preservation of Shiping folk music is also carefully investigated, highlighting their critical significance in furthering cultural heritage. This multimodal approach emphasizes the interplay of education, literacy, and preservation in maintaining the vibrancy of Shiping Folk Songs, providing significant insights into the long-term preservation of this cultural asset.

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Exploring the machine learning approach to the cultural and ecological sustainable development of Fuzhou tea picking opera

Liu,

Yuan

2024

Applied Mathematics and Nonlinear Sciences

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The article introduces machine learning based on a support vector machine to illustrate the scenario of Fuzhou Tea Casting Opera, a folkloric non-heritage research and ecologically sustainable development, from the perspective of economic return prediction. Fine-grained information recognition and extraction of massive, unstructured UGC data are used for data collection preprocessing in this paper. Mostly, the relationship is established by analyzing the training samples to establish the connection between input and output data. The limited sample information is used to find the best compromise between the model’s complexity and learning ability. Then, search for the parameters that make the geometric interval the largest so as to construct the function and obtain the optimal hyperplane. In this paper, the kernel function is introduced using a ɛ -insensitive loss function. To obtain the decision function in different cases, two cases are modeled using support vector machine regression. Finally, the support vector machine model is used to predict the economic benefits of the Fuzhou tea-picking operation. The SVM prediction model’s prediction error of the economic benefits of tea-picking opera for the nine years from 2010 to 2018 is always maintained at a safe value below 0.035. The accuracy and stability of the prediction effect of the decision tree model and the gray prediction model are not as good as this paper’s model. It shows that the model presented in this paper is more suitable for predicting the benefits of the cultural and ecological sustainable development of Fuzhou tea-picking opera.

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Change of Hakka Opera: Ethnicity and Creation in Hakka Musical and Hakka TV Drama

Cited by 3 publications

References 4 publications

Creation of Drama Art Based on Deep Learning and Evolution Strategy

Creation of Drama Art Based on Deep Learning and Evolution Strategy

Preservation of Shiping Folk Songs in Weiyuan County, China

Exploring the machine learning approach to the cultural and ecological sustainable development of Fuzhou tea picking opera

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