Fostering inclusivity through effective communication: Real-time sign language to speech conversion system for the deaf and hard-of-hearing community-Reference-Cited by-同舟云学术

Fostering inclusivity through effective communication: Real-time sign language to speech conversion system for the deaf and hard-of-hearing community

Published:2023-10-18 Issue: Volume: Page:
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Kaur Binwant^ORCID,Chaudhary Aastha^ORCID,Bano Shahina^ORCID,Yashmita ^ORCID,Reddy S.R.N.^ORCID,Anand Rishika^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-023-17372-9.pdf

Reference39 articles.

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2. Bukhari J, Rehman M, Malik SI, Kamboh AM, Salman A (2015) American sign language translation through sensory glove; SignSpeak. Int J u- e-Serv Sci Technol 8(1):131–142. https://doi.org/10.14257/ijunesst.2015.8.1.12

3. Triwijoyo BK, Karnaen LYR, Adil A (2023) Deep learning approach for sign language recognition. JITEKI: Jurnal Ilmiah Teknik Elektro Komputer dan Informatika 9(1)

4. Katoch S, Singh V, Tiwary US (2022) Indian Sign Language recognition system using SURF with SVM and CNN. Array 14. https://doi.org/10.1016/j.array.2022.100141

5. Talukder D, Jahara F (2020) Real-time bangla sign language detection with sentence and speech generation. In ICCIT 2020 - 23rd International Conference on Computer and Information Technology, Proceedings, Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/ICCIT51783.2020.9392693

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