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A Study of the Function of Emotional Calculation in Expressing and Communicating in Music Performance in Multicultural Contexts

  
Oct 04, 2024

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Marín-Morales, J., Higuera-Trujillo, J. L., Greco, A., Guixeres, J., Llinares, C., Scilingo, E. P., ... & Valenza, G. (2018). Affective computing in virtual reality: emotion recognition from brain and heartbeat dynamics using wearable sensors. Scientific reports, 8(1), 13657. Search in Google Scholar

Marín-Morales, J., Llinares, C., Guixeres, J., & Alcañiz, M. (2020). Emotion recognition in immersive virtual reality: From statistics to affective computing. Sensors, 20(18), 5163. Search in Google Scholar

Chang, A., Livingstone, S. R., Bosnyak, D. J., & Trainor, L. J. (2017). Body sway reflects leadership in joint music performance. Proceedings of the National Academy of Sciences, 114(21), E4134-E4141. Search in Google Scholar

Cespedes-Guevara, J., & Eerola, T. (2018). Music communicates affects, not basic emotions–A constructionist account of attribution of emotional meanings to music. Frontiers in psychology, 9, 215. Search in Google Scholar

Pandeya, Y. R., & Joonwhoan, L. (2019). Music-video emotion analysis using late fusion of multimodal. DEStech Transactions on Computer Science and Engineering iteee. Search in Google Scholar

Laukka, P., & Elfenbein, H. A. (2021). Cross-cultural emotion recognition and in-group advantage in vocal expression: A meta-analysis. Emotion Review, 13(1), 3-11. Search in Google Scholar

Er, M. B., & Aydilek, I. B. (2019). Music emotion recognition by using chroma spectrogram and deep visual features. International Journal of Computational Intelligence Systems, 12(2), 1622-1634. Search in Google Scholar

Hizlisoy, S., Yildirim, S., & Tufekci, Z. (2021). Music emotion recognition using convolutional long short term memory deep neural networks. Engineering Science and Technology, an International Journal, 24(3), 760-767. Search in Google Scholar

Liu, Y., Liu, G., Wei, D., Li, Q., Yuan, G., Wu, S., ... & Zhao, X. (2018). Effects of musical tempo on musicians’ and non-musicians’ emotional experience when listening to music. Frontiers in Psychology, 9, 2118. Search in Google Scholar

Panda, R., Malheiro, R., & Paiva, R. P. (2018). Novel audio features for music emotion recognition. IEEE Transactions on Affective Computing, 11(4), 614-626. Search in Google Scholar

Hsu, Y. L., Wang, J. S., Chiang, W. C., & Hung, C. H. (2017). Automatic ECG-based emotion recognition in music listening. IEEE Transactions on Affective Computing, 11(1), 85-99. Search in Google Scholar

Wang, Y., Song, W., Tao, W., Liotta, A., Yang, D., Li, X., ... & Zhang, W. (2022). A systematic review on affective computing: Emotion models, databases, and recent advances. Information Fusion, 83, 19-52. Search in Google Scholar

Wang, X., Wei, Y., & Yang, D. (2022). Cross‐cultural analysis of the correlation between musical elements and emotion. Cognitive Computation and Systems, 4(2), 116-129. Search in Google Scholar

Huang, L. (2024). Learning Experience of University Music Course Based on Emotional Computing. Journal of Electrical Systems, 20(1). Search in Google Scholar

Akkermans, J., Schapiro, R., Müllensiefen, D., Jakubowski, K., Shanahan, D., Baker, D., ... & Frieler, K. (2019). Decoding emotions in expressive music performances: A multi-lab replication and extension study. Cognition and Emotion. Search in Google Scholar

Ma, J. (2022). Emotional Expression and Analysis in Music Performance Based on Edge Computing. Mobile Information Systems, 2022(1), 4856977. Search in Google Scholar

Cancino-Chacón, C. E., Grachten, M., Goebl, W., & Widmer, G. (2018). Computational models of expressive music performance: A comprehensive and critical review. Frontiers in Digital Humanities, 5, 25. Search in Google Scholar

Department of Computer Science and Engineering, The NorthCap University, Gurgaon, India, Department of Information Technology, Manipal University Jaipur, Jaipur, India & Department of Computer Science and Engineering, The NorthCap University, Gurgaon, India. (2019). Classification of intellectual disability using LPC, LPCC, and WLPCC parameterization techniques. International Journal of Computers and Applications(6),470-479. Search in Google Scholar

Abrham Debasu Mengistu. (2017). Automatic Text Independent Amharic Language Speaker Recognition in Noisy Environment Using Hybrid Approaches of LPCC, MFCC and GFCC. International Journal of Advanced Studies in Computer Science and Engineering(5TB),8-12. Search in Google Scholar

Shibli Nisar, Muhammad Asghar Khan,2,Fahad Algarni, Abdul Wakeel, M. Irfan Uddin & Insaf Ullah. (2022). Speech Recognition-Based Automated Visual Acuity Testing with Adaptive Mel Filter Bank. Computers, Materials & Continua(2),2991-3004. Search in Google Scholar

Ruiyuan Lin,Sheng Liu,Jun Jiang,Shujun Li,Chengqing Li & C. C. Jay Kuo. (2024). Recovering sign bits of DCT coefficients in digital images as an optimization problem. Journal of Visual Communication and Image Representation104045-. Search in Google Scholar

Guo Qili. (2021). Computer-assisted Music Composition Algorithm Design Dependent on Interactive Genetic Algorithm with Interval Fitness. Journal of Physics: Conference Series(1). Search in Google Scholar

Bednay, Dezső,Tasnádi, Attila & Yadav, Sonal. (2021). On the manipulability of a class of social choice functions: plurality kth rules. Review of Economic Design(1),1-22. Search in Google Scholar

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