Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Each country has its own sign language based on the local language. Unfortunately, many people, even those with normal hearing, often overlook or avoid communicating with individuals who are deaf or hard of hearing. This creates a significant barrier for those who cannot hear, making it even more difficult for them to engage in conversations. Individuals with speech and hearing impairments often face challenges in communication because not everyone knows sign language. The aim of this research is to create a system that assists those with speech and hearing difficulties by converting spoken language into Indian Sign Language (ISL). Since learning sign language can be a challenge, this study proposes an innovative approach that combines speech recognition and image processing. The development of sign languages has greatly facilitated communication, particularly for the deaf and hard of hearing, ensuring better interaction and fostering versatile communication for all parties involved.
Keywords:
Audio To Sign Language, Machine Learning, Python, Database
Cite Article:
"AUDIO TO SIGN LANGUAGE TRANSLATOR", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 5, page no.c464-c467, May-2025, Available :http://www.ijrti.org/papers/IJRTI2505254.pdf
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000360
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator