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

<p>This study utilizes the ERP model of aesthetic cognition to reveal the neural basis of aesthetic experience, pointing out the complex cognitive processes including emotional escalation. Advanced techniques are used to pre-process violin sound signals and multiple algorithms are applied to extract critical features for accurate emotion recognition. The developed DBM-LSTM model combines the advantages of multi-layer stacked RBM and LSTM, which substantially improves emotion recognition accuracy with a success rate of more than 0.85. Finally, through a questionnaire survey, it is found that the public’s aesthetic preference of violin performance is significantly correlated with emotion perception, indicating that the more the performance conforms to the public’s aesthetics, the more it can stimulate positive emotions. This study not only provides theoretical and practical guidance on the combination of violin performance art and information technology, but also opens up a new way for the emotional communication of artistic performances and enhancing public aesthetic experience.</p>
</abstract>

This study utilizes the ERP model of aesthetic cognition to reveal the neural basis of aesthetic experience, pointing out the complex cognitive processes including emotional escalation. Advanced techniques are used to pre-process violin sound signals and multiple algorithms are applied to extract critical features for accurate emotion recognition. The developed DBM-LSTM model combines the advantages of multi-layer stacked RBM and LSTM, which substantially improves emotion recognition accuracy with a success rate of more than 0.85. Finally, through a questionnaire survey, it is found that the public’s aesthetic preference of violin performance is significantly correlated with emotion perception, indicating that the more the performance conforms to the public’s aesthetics, the more it can stimulate positive emotions. This study not only provides theoretical and practical guidance on the combination of violin performance art and information technology, but also opens up a new way for the emotional communication of artistic performances and enhancing public aesthetic experience.

Research on the artistic aesthetic value of violin performance under the integration of information technology

Communication University of China Nanjing

Applied Mathematics and Nonlinear Sciences

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

This study utilizes the ERP model of aesthetic cognition to reveal the neural basis of aesthetic experience, pointing out the complex cognitive processes...

Research on the artistic aesthetic value of violin performance under the integration of information technology

Online veröffentlicht: 26. Feb. 2024

Seitenbereich: -

Eingereicht: 10. Jan. 2024

Akzeptiert: 16. Jan. 2024

DOI: https://doi.org/10.2478/amns-2024-0464

Schlüsselwörter
ERP aesthetic perception, Emotion recognition, DBM-LSTM model, Feature extraction, Violin performance

© 2024 Pan Du, published by Sciendo

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

Research on the artistic aesthetic value of violin performance under the integration of information technology

Online veröffentlicht: 26. Feb. 2024

Seitenbereich: -

Eingereicht: 10. Jan. 2024

Akzeptiert: 16. Jan. 2024

DOI: https://doi.org/10.2478/amns-2024-0464

SchlüsselwörterERP aesthetic perception, Emotion recognition, DBM-LSTM model, Feature extraction, Violin performance

© 2024 Pan Du, published by Sciendo

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

Schlüsselwörter
ERP aesthetic perception, Emotion recognition, DBM-LSTM model, Feature extraction, Violin performance