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Original Article

Sign Language to Text and Audio Converter

Open Access Peer Reviewed Crossref DOI

Authors

  • Dr. C. P. Divate1
  • N. R. Bhokare2
  • Sankalp Shivprasad Takawade3
  • Shreya Sagar Shette4
  • Pirkhan Malik Pathan5
  • Arsalan Asif Sharikmaslat6

1 Dean, Department of Computer Engineering, ATS. Sanjay Bhokare Group of Institute, Faculty of Polytechnic, Miraj, Maharashtra, India. 2 HOD, Department of Computer Engineering, ATS. Sanjay Bhokare Group of Institute, Faculty of Polytechnic, Miraj, Maharashtra, India. 3 4 5 6 Department of Computer Engineering, ATS. Sanjay Bhokare Group of Institute, Faculty of Polytechnic, Miraj, Maharashtra, India.

Article Information

Published Online
September-December 2026
Pages
413-416
Article Type
Original Article
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References

1. B. K. Triwijoyo, L. Y. R. Karnaen, and A. Adil, “Deep learning approach for sign language recognition,” Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI), vol. 9, no. 1, pp. 12–21, 2023, doi: 10.26555/jiteki.v9i1.25051.
2. S. K. Adhikari, P. Neupane, S. Mainali, U. Regmi, and P. Chapagain, “American sign language classification using CNNs: A comparative study,” in Proc. KEC Conference, 2024, doi: 10.3126/injet.v1i2.66704.
3. V. Palla, “Sign language recognition and text-to-speech translation,” M.Sc. research project, Dept. of Artificial Intelligence, National College of Ireland, 2023.
4. B. Fonya and C. Worrell, “Real-time sign language gestures to speech transcription using deep learning,” arXiv:2508.12713, 2025.
5. Wilson and L. Steephen, “Sign language to text conversion using CNN,” Indian Journal of Data Mining, vol. 4, no. 1, pp. 9–12, May 2024, doi: 10.54105/ijdm.A1634.04010524.
6. F. Zhang et al., “MediaPipe Hands: On-device real-time hand tracking,” arXiv:2006.10214, 2020.
7. D. P. Kingma and J. Ba, “Adam: A method for stochastic optimization,” in Proc. Int. Conf. Learning Representations (ICLR), 2015.
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