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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM33886
Volume:
8 |
5 |
May 2024
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Speech-to-text translation is pivotal in overcoming language barriers and enhancing communication across cultures. This paper introduces a novel application that leverages the Seamless M4T model and Gradio UI for accurate and efficient speech-to-text translation. The system supports multiple languages, with a focus on English and Tamil, and integrates audio input from diverse sources. Gradio UI’s intuitive interface ensures the application’s accessibility to a broad audience. The system’s performance, evaluated through various test cases, demonstrates its robustness and accuracy, marking a significant advancement in communication technology.
KEYWORDS
Publication Date
12/31/45433
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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No funding information available for this research.
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