Title: Application of new media technology in opera networked teaching

Authors: Yan Chen

Addresses: Music College of Guangxi Arts University, Nanning, 530022, China

Abstract: Modern new media technology provides a good platform for education and teaching. The use of new media technology to assist online teaching of traditional Chinese opera has shown great potential for development in major universities. This study designed a networked teaching mode for traditional Chinese opera and new media technology and improved LSTM using CTC to construct a BiLSTM-CTC speech recognition model. The results show that for 8 and 12 rounds of training, the speech recognition error rates of the proposed BiLSTM-CTC model are 60% and 7%, respectively. In college opera teaching, the minimum value of this model is only 6%, the consumption time is 17.38 seconds, and the comprehensive score is as high as 95.97 points. The above results indicate that this method can accurately identify voice features in traditional Chinese opera teaching, providing technical and methodological references for effective interaction in the online teaching of traditional Chinese opera.

Keywords: new media; opera; networked teaching; long short-term memory; LSTM; speech recognition.

DOI: 10.1504/IJCSYSE.2024.142769

International Journal of Computational Systems Engineering, 2024 Vol.8 No.3/4, pp.129 - 138

Received: 22 Mar 2023
Accepted: 18 Apr 2023
Published online: 21 Nov 2024 *

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