Article: Singing simulation of male characters in national operas based on PiGAN-SwT model and artificial neural network technology oriented by cultural tourism Journal: International Journal of Arts and Technology (IJART) 2026 Vol.16 No.6 pp.164 - 189 Abstract: This study explores the reconstruction and singing simulation of male roles in national opera using artificial neural networks (ANN). Against the practical background of the continuous integrated development of cultural tourism, national opera is no longer confined to the traditional theatrical communication space, and its presentation modes are gradually extending to tourism performances, digital exhibition halls, immersive cultural-tourism scenarios, and local cultural experience spaces. As an important carrier for the narrative progression, vocal styling, and stage temperament expression of national opera, male characters not only carry distinct artistic conventions but also constitute a crucial gateway for tourists to recognise the cultural images of local operas. Therefore, the proposed PiGAN-SwT model It can improve the accuracy of acoustic feature reconstruction for male characters in national opera, and provide technical support for digital opera exhibitions, the reproduction of cultural-tourism performances, and the dissemination of local culture in cultural tourism scenarios. Inderscience Publishers - linking academia, business and industry through research

Title: Singing simulation of male characters in national operas based on PiGAN-SwT model and artificial neural network technology oriented by cultural tourism

Authors: Qian Wang

Addresses: School of Music and Dance, Guangzhou Institute of Science and Technology, Guangzhou, 510540, Guangdong, China

Abstract: This study explores the reconstruction and singing simulation of male roles in national opera using artificial neural networks (ANN). Against the practical background of the continuous integrated development of cultural tourism, national opera is no longer confined to the traditional theatrical communication space, and its presentation modes are gradually extending to tourism performances, digital exhibition halls, immersive cultural-tourism scenarios, and local cultural experience spaces. As an important carrier for the narrative progression, vocal styling, and stage temperament expression of national opera, male characters not only carry distinct artistic conventions but also constitute a crucial gateway for tourists to recognise the cultural images of local operas. Therefore, the proposed PiGAN-SwT model It can improve the accuracy of acoustic feature reconstruction for male characters in national opera, and provide technical support for digital opera exhibitions, the reproduction of cultural-tourism performances, and the dissemination of local culture in cultural tourism scenarios.

Keywords: national opera; male roles; cultural tourism; virtual reconstruction; timbre recognition; generative adversarial network; GAN; deep learning; artificial neural networks; ANN.

DOI: 10.1504/IJART.2026.154755

International Journal of Arts and Technology, 2026 Vol.16 No.6, pp.164 - 189

Received: 06 Mar 2026
Accepted: 15 Apr 2026
Published online: 13 Jul 2026 *

Title: Singing simulation of male characters in national operas based on PiGAN-SwT model and artificial neural network technology oriented by cultural tourism

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