Real Time Voice Translator |
Author(s): |
| Darshan Nilesh Shilvant , Aissms Polytechnic; Sarang Jagdale, Aissms Polytechnic; Ejaz Sayyed, Aissms Polytechnic; Prof. Rachika Waghmare, Aissms Polytechnic |
Keywords: |
| Voice Translator, Speech Recognition, Machine Translation, Natural Language Processing, Short-Term Conversation, Language Barrier, Voice-To-Text |
Abstract |
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Real-Time Voice Translation (RTVT) enables instantaneous translation of spoken language from one language to other. Through our design method, three incremental versions of prototype were produced. In the end, we demonstrate that the interaction model can be applied on real situation. Voice Translation has always been about giving source text/audio input and waiting for system to give translated output in desired form. It should work without the interaction of any operator. The application should be able to understand everything the user said. User should be able to talk about whatever he wants and the application would be able to translate what he has spoken. Real-Time Voice Translation (RTVT) is a ground-breaking technology that enables the instantaneous translation of spoken words from one language to another during live conversations. Real-Time Voice Translation is facilitated through a combination of advanced technologies and algorithms. It should be able to translate simple sentences to many languages. Our research focuses on analyzing the existing interaction models for real-time translation systems and the expectations of users, who need to minimize communications difficulties encountered on daily brief conversations. |
Other Details |
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Paper ID: IJSRDV11I120073 Published in: Volume : 11, Issue : 12 Publication Date: 01/03/2024 Page(s): 96-98 |
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