Breaking Barriers: Sign Language-to-Text Transformation in the Digital Era
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-2089-7_33
Reference18 articles.
1. K. Tiku, J. Maloo, A. Ramesh, R. Indra, Real-time conversion of sign language to text and speech, in Proceedings of the Second International Conference on Inventive Research in Computing Applications (ICIRCA-2020) (IEEE, 2020)
2. S. Park, Y. Jeong, H.S. Kim, Multi-resolution CNN for reverberant speech recognition, in 2017 20th Conference of the Oriental Chapter of the International Coordinating Committee on Speech Databases and Speech I/O Systems and Assessment (O-COCOSDA) (IEEE, 2017), pp. 1–4
3. K. Bantupalli, Y. Xie, American sign language recognition using deep learning and computer vision, in 2018 IEEE Conference on Big Data
4. H.K. Nishihara, Recognition of American sign language using image processing and machine learning. Int. J. Comput. Sci. Mob. Comput. 8(3), 352–357 (2019)
5. S.G. Mundada, K. Khurana, A. Bagora, Real-time conversion of hand gestures to speech using vision based technique. Int. J. Innov. Technol. Explor. Eng. (IJITEE) 8(9) (2019). ISSN: 2278-3075
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