<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>In the era of information technology, with the deepening of cultural heritage protection, the importance of digital technology intervention in traditional art and culture for protection and inheritance has become more significant, and the digital inheritance of Chinese traditional music culture has also received widespread attention. In this paper, we first preprocess the traditional music signal and extract the Meier multifrequency coefficients, then use the feature as the input of the deep confidence network, and then keep tuning the parameter training to get the optimal network model, and finally utilize the obtained optimal model to recognize the traditional music. Based on this basis, this paper focuses on the concept of the digital heritage of Chinese traditional music culture through three steps: recognition, processing, display, and dissemination. We also designed and developed a Chinese traditional music culture APP for Chinese traditional music lovers and inheritors and examined the effect and performance of the APP application based on the music recognition model in this paper. The modeling methods proposed in this paper meet the usage requirements by having accuracy rates above 90%. 73.25% of the audience expressed satisfaction and very satisfaction with the overall application effect of the Chinese traditional music APP. In this paper, the Chinese traditional music digital APP proposes an effective means of communication for the solution of digital inheritance and also provides a realizable path for the digital inheritance of Chinese traditional music culture.</p>
</abstract>

In the era of information technology, with the deepening of cultural heritage protection, the importance of digital technology intervention in traditional art and culture for protection and inheritance has become more significant, and the digital inheritance of Chinese traditional music culture has also received widespread attention. In this paper, we first preprocess the traditional music signal and extract the Meier multifrequency coefficients, then use the feature as the input of the deep confidence network, and then keep tuning the parameter training to get the optimal network model, and finally utilize the obtained optimal model to recognize the traditional music. Based on this basis, this paper focuses on the concept of the digital heritage of Chinese traditional music culture through three steps: recognition, processing, display, and dissemination. We also designed and developed a Chinese traditional music culture APP for Chinese traditional music lovers and inheritors and examined the effect and performance of the APP application based on the music recognition model in this paper. The modeling methods proposed in this paper meet the usage requirements by having accuracy rates above 90%. 73.25% of the audience expressed satisfaction and very satisfaction with the overall application effect of the Chinese traditional music APP. In this paper, the Chinese traditional music digital APP proposes an effective means of communication for the solution of digital inheritance and also provides a realizable path for the digital inheritance of Chinese traditional music culture.

Exploration of Digital Inheritance Ideas of Chinese Traditional Music Culture in the Information Age

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

In the era of information technology, with the deepening of cultural heritage protection, the importance of digital technology intervention in traditional art...

Exploration of Digital Inheritance Ideas of Chinese Traditional Music Culture in the Information Age

Online veröffentlicht: 05. Aug. 2024

Seitenbereich: -

Eingereicht: 09. Apr. 2024

Akzeptiert: 23. Juni 2024

DOI: https://doi.org/10.2478/amns-2024-2233

Schlüsselwörter
Meld frequency coefficient, Deep confidence network, Traditional music recognition, Digital inheritance, Music culture

© 2024 Wenjing Wu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Exploration of Digital Inheritance Ideas of Chinese Traditional Music Culture in the Information Age

Online veröffentlicht: 05. Aug. 2024

Seitenbereich: -

Eingereicht: 09. Apr. 2024

Akzeptiert: 23. Juni 2024

DOI: https://doi.org/10.2478/amns-2024-2233

SchlüsselwörterMeld frequency coefficient, Deep confidence network, Traditional music recognition, Digital inheritance, Music culture

© 2024 Wenjing Wu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Meld frequency coefficient, Deep confidence network, Traditional music recognition, Digital inheritance, Music culture