Optimization of vocal singing training method based on intelligent big data technology

[1] Chen, Y. (2020). Optimization of music teaching methods based on multimedia computer-aided technology. Computer-Aided Design and Applications, 18, 47-57. Search in Google Scholar

[2] He, B. (2021). Video teaching of piano playing and singing based on computer artificial intelligence system and virtual image processing. Journal of Ambient Intelligence and Humanized Computing, 1-12. Search in Google Scholar

[3] Zhou, M. and Tianzhuo, G. (2020). Optimization of multimedia computer-aided interaction system of vocal music teaching based on voice recognition. Computer-Aided Design and Applications, 8, 113-122. Search in Google Scholar

[4] Chattu, V. K. (2021). A review of artificial intelligence, big data, and blockchain technology applications in medicine and global health. Big Data and Cognitive Computing 5.3, 41. Search in Google Scholar

[5] Wu, C. C., Yang, M., Yuan, T., Fu, Q., & Tsai, Y. J.. (2021). Application of big data complexity analysis hedging operation of derivative financial products. Complexity, 2021. Search in Google Scholar

[6] Chen, G., & Zhang, W.. (2021). Application of big data information system in early diagnosis, treatment, and nursing of cervical cancer infected by human papillomavirus. Expert Systems(11). Search in Google Scholar

[7] Gentsch, P. (2018). AI in marketing, sales and service: How marketers without a data science degree can use AI, big data and bots. Springer. Search in Google Scholar

[8] Ojokoh, B. A., et al. (2020). Big data, analytics and artificial intelligence for sustainability. Scientific African 9, e00551. Search in Google Scholar

[9] Xu, B. (2021). Artificial intelligence teaching system and data processing method based on big data. Complexity. Search in Google Scholar

[10] Jiang, D., Liuwei H., and Houbing S. (2018). Rethinking behaviors and activities of base stations in mobile cellular networks based on big data analysis. IEEE Transactions on Network Science and Engineering 7.1, 80-90. Search in Google Scholar

[11] Jiang, H. (2019).Computer-assisted interactive platform design for online music teaching based on cloud computing. International Journal of Engineering Intelligent Systems 27.2. Search in Google Scholar

[12] Chen, C., and Qiang L. (2020). A multimodal music emotion classification method based on multifeature combined network classifier. Mathematical Problems in Engineering. Search in Google Scholar

[13] Zhang, X., Xinguo M., and Dao Y. (2020). Application of industrial big data for smart manufacturing in product service system based on system engineering using fuzzy DEMATEL. Journal of Cleaner Production 265, 121863. Search in Google Scholar

[14] Lin, Z., and Zhang L. (2022). Language learning system based on big data word segmentation and public opinion detection. 2022 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI). IEEE Computer Society. Search in Google Scholar

[15] Lu, H., et al. (2020). User-oriented virtual mobile network resource management for vehicle communications. IEEE transactions on intelligent transportation systems 22.6, 3521-3532. Search in Google Scholar

[16] Xu, C., and Yuekun Z. (2022). Design of a computer aided system for self-learning vocal music singing with the help of mobile streaming media technology. Computer-Aided Design and Applications 19.S3, 119-129. Search in Google Scholar

[17] Wu, Jun, et al. (2020). Application of big data technology for COVID-19 prevention and control in China: lessons and recommendations. Journal of medical Internet research 22.10, e21980. Search in Google Scholar

[18] Ogudo, Kingsley A., et al. (2018). Modeling of an efficient low cost, tree based data service quality management for mobile operators using in-memory big data processing and business intelligence use cases. 2018 International Conference on Advances in Big Data, Computing and Data Communication Systems (icABCD). IEEE. Search in Google Scholar

[19] Song, X. (2021). Intelligent English translation system based on evolutionary multi-objective optimization algorithm. Journal of Intelligent & Fuzzy Systems 40.4, 6327-6337. Search in Google Scholar

[20] Kong, Fanhui, et al. (2019). Short-term traffic flow prediction in smart multimedia system for Internet of Vehicles based on deep belief network. Future Generation Computer Systems 93, 460-472. Search in Google Scholar

[21] Fei, H. (2021). Application research of neural network technology in vocal music evaluation. 2021 6th International Conference on Smart Grid and Electrical Automation (ICSGEA). IEEE. Search in Google Scholar

[22] Lv, Zefang, et al. (2019). An optimizing and differentially private clustering algorithm for mixed data in SDN-based smart grid. IEEE Access 7, 45773-45782. Search in Google Scholar

[23] Li, S., and Yongchuan T. (2020). A Simple Framework of Smart Geriatric Nursing considering Health Big Data and User Profile. Computational and Mathematical Methods in Medicine 2020. Search in Google Scholar

[24] Shen, Zebang, et al. (2019). A deep learning method for Chinese singer identification. Tsinghua Science and Technology 24.4, 371-378. Search in Google Scholar

[25] Manimuthu, A., Dharshini, V., Zografopoulos, I., Priyan, M. K., Konstantinou, C. (2021). Contactless technologies for smart cities: big data, IoT, and cloud infrastructures. SN computer science, 2(4), 334. Search in Google Scholar

[26] Helena, & Daffern. (2017). Blend in singing ensemble performance: vibrato production in a vocal quartet. Journal of Voice. Search in Google Scholar

[27] Ma, L. Traditional music protection system from the ecological perspective based on big data analysis. Ekoloji 28.107 (2019): 3667-3676. Search in Google Scholar

[28] Amanullah, Mohamed Ahzam, et al. (2020). Deep learning and big data technologies for IoT security. Computer Communications 151, 495-517. Search in Google Scholar

[29] Hong-Tan, L., et al. (2021). Big data and ambient intelligence in IoT-based wireless student health monitoring system. Aggression and Violent Behavior, 101601. Search in Google Scholar