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Research Article

Voice Personal Assistant Using Machine Learning for Multilingual

Vanitha Mani. K1 Piyush Kumar. D2 Sabari Kumar K. B3 Raja Kirubaharan. E4 Praveen Kumar. S5
1Assistant Professor, Department of Computer Science and Engineering, K.L.N. College of Engineering and Technology, Sivagangai, Tamilnadu, India. 2345 Students, Department of Computer Science and Engineering, K.L.N. College of Engineering and Technology, Sivagangai, Tamilnadu, India.

Published Online: November-December 2024

Pages: 05-07

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References

1. Abdolrahmani, A., Kuber, R., & Branham, S. M. (2018). Siri talks at you" an empirical in- vestigation of voice-activated P. Aalet al.,
2017. using personal assistant (VAPA) among individuals with a disability of blindness. In Proceedings of the 20th international and
accessibility (pp. 249–258)
2. Lau, J., Zimmerman, B., & Schaub, F. (2018). Alexa, are you listening? Privacy perceptions, concerns and privacy-seeking behaviors
with smart speakers. Proceedings of the on Human-Computer Interaction: 2, pp. 1–31. 10.1145/3274371.
3. S. Han, H. Yang, Understanding adoption of intelligent personal assistants: aparasocial relationship perspective, Ind. Manag. Data
Syst. 118 (3) (2018)618–636.
4. H. Choung, P. David, A. Ross, Trust in AI and its role in the acceptance of AItechnologies, Int. J. Hum. Comput. Interact. (2022),
5. D. Liciotti, M. Bernardini, L. Romeo, and E. Frontoni, ''A sequential deeplearning application for recognising human activities in
smart homes,''Neurocomputing, vol. 396, pp. 501–513, Jul. 2020.
6. G. M. Madhu and C. Vyjayanthi, ''Implementation of cost effective smarthome controller with Android application using node MCU
and Inter-net of Things (IOT),'' in Proc. 2nd Int. Conf. Power, Energy Environ.,Towards Smart Technol. (ICEPE), Jun. 2018.

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