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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM49635
Volume:
9 |
6 |
Jun 2025
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.
Effective communication across languages is essential in today’s interconnected world . This project presents an advanced interactive voice translation system for real-time multilingual conversations. Using Automatic Speech Recognition (ASR) to transcribe speech, Natural Language Processing (NLP) for context understanding, and Machine Translation (MT) for accurate conversions, it bridges language barriers by translating speech seamlessly into the target language. The system ensures accurate,context-aware translations by preserving the original speech’s nuances. With applications in international business, travel, education, and customer service, this solution transforms multilingual interactions, making communication more accessible and effective across diverse contexts and environments. By combining cutting-edge technologies like ASR, NLP and MT, this project creates a powerful tool to bridge linguistic divides. It enhances global collaboration, simplifies cross-cultural communication, and supports learning, travel, and professional needs, fostering inclusive and mutual understanding in an increasingly connected world.
KEYWORDS
Publication Date
10/5/2025
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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