Language Translation System with Text or Speech Input and Produced as Text Output

Language Translation System with Text or Speech Input and Produced as Text Output

M Maheshwari,  ECE ,Institute of Aeronautical Engineering, Hyderabad, India

22951A0486@iare.ac.in

Dr. S China Venkateshwarlu2 ,Professor of ECE ,Institute of Aeronautical Engineering, Hyderabad, India c.venkateshwarlu@iare.ac.in

Dr. V Siva Nagaraju3 ,Professor of ECE ,Institute of Aeronautical Engineering, Hyderabad, India

v.sivanagaraju@iare.ac.in

Abstract:

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.