ARCHIVES

Original Article

AI-Powered Real-Time Video Translation and Subtitling System

Vishnu Priya1 Pradeepa.R2 Swetha.G3 Swetha.M4 Yuvashree.D5
1 Assistant Professor, M.Tech, Department of Information Technology, Er. Perumal Manimekalai College of Engineering, Hosur, amil Nadu, India. 2 3 4 5 Department of Information Technology, Er. Perumal Manimekalai College of Engineering, Hosur, Tamil Nadu, India.

Published Online: January-April 2026

Pages: 568-571

References

1. D. Hinton et al., “Deep Neural Networks for Acoustic Modeling in Speech Recognition,” IEEE Signal Processing Magazine, 2012.
2. A. Vaswani et al., “Attention Is All You Need,” in Advances in Neural Information Processing Systems (NeurIPS), 2017.
3. T. J. Hazen, “Automatic Speech Recognition: A Deep Learning Approach,” IEEE, 2015.
4. P. Koehn, “Neural Machine Translation,” Cambridge University Press, 2020.
5. J. Devlin et al., “BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding,” NAACL, 2019.
6. A. Graves et al., “Speech Recognition with Deep Recurrent Neural Networks,” IEEE ICASSP, 2013.
7. M. S. Ibrahim et al., “Real-Time Speech-to-Text Translation Systems Using Deep Learning,” IEEE Access, 2022.
8. S. Kumar and M. Joshi, “Multilingual Subtitle Generation using NLP Techniques,” International Journal of Computer Applications, 2021.
9. Y. Wang et al., “End-to-End Speech Recognition and Translation Systems,” IEEE Transactions on Audio, Speech, and Language Processing, 2020.
10. X. Chen et al., “Low-Latency Real-Time Captioning Systems using Deep Learning,” Information Processing & Management, 2024.

Related Articles

2026

Artificial Intelligence in Learning and Teaching

2026

Admin Assist: An AI – Driven Configuration and Orchestration for Enterprise Application

2026

Enhancing Blood Group Identification using pigeon inspired optimization: An Innovative Approach

2026

Eco-Genius: Power Up Smart, Power Down Waste

2026

Crowd-Sourced Disaster Response and Rescue Assistant

2026

Unveiling Deepfake Detection Using Vision Transformers: A Survey and Experimental Study

Share Article

X
LinkedIn
Facebook
WhatsApp

Or copy link

https://test.indjcst.com/archives/10.59256/indjcst.20260501065

*Instagram doesn't support direct link sharing from web. Copy the link and share it in your Instagram story or post.