Author:
Viloria Amelec,Pineda Lezama Omar Bonerge,Cabrera Danelys
Reference18 articles.
1. Big Data Marketing During the Period 2012-2019: A Bibliometric Review;Viloria,2020
2. Mitrovic, D., Zeppelzauer, M., Eidenberger, H.: Analysis of the Data Quality of Audio Features of Environmental Sounds. Knowledge Creation Diffusion Utilization, pp. 4- 17 (2006)
3. Juthi, J. H., Gomes, A., Bhuiyan, T., & Mahmud, I. (2020). Music Emotion Recognition with the Extraction of Audio Features Using Machine Learning Approaches. In Proceedings of ICETIT 2019 (pp. 318-329). Springer, Cham.
4. Greece-Duan, S., Zhang, J., Roe, P.: A survey of tagging techniques for music, speech and environmental sound, pp. 637-661 (2014)
5. Lee, C. S., Tsai, Y. L., Wang, M. H., Sekino, H., Huang, T. X., Hsieh, W. F.,.. & Yamaguchi, T. (2019, November). FML-based Machine Learning Tool for Human Emotional Agent with BCI on Music Application. In 2019 International Conference on Technologies and Applications of Artificial Intelligence (TAAI) (pp. 1-6). IEEE.
Cited by
5 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献