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International Journal for Research in Applied Science & Engineering Technology (IJRASET)
from Enhancing Alexas Performance with Neural Networks: A Comparative Study of Voice Assistants
by IJRASET
ISSN: 2321-9653; IC Value: 45.98; SJ Impact Factor: 7.538
Volume 11 Issue IV Apr 2023- Available at www.ijraset.com
[8] Li, J., Li, W., & Li, S. (2019). Research on voice interaction technology of smart home system based on deep learning. Wireless Personal Communications, 107(3), 1525-1537.
[9] Huang, C. C., Kao, P. C., & Chen, H. T. (2019). Voice assistants adoption: Investigating the roles of cognitive absorption and flow experience. Computers in Human Behavior, 100, 198-206.
[10] Koda, T., & Ohno, T. (2019). Deep learning approach to the voice assistant: How to make the voice assistant sound more natural. In Proceedings of the 2019 International Conference on Artificial Intelligence in Information and Communication (pp. 58-61).
[11] Li, X., Ma, J., Li, Y., Li, X., & Li, Y. (2021). Intelligent voice assistant based on deep learning for Chinese-English bilingual education. Journal of Ambient Intelligence and Humanized Computing, 12(3), 2663-2672.
