AI-Powered Real-Time Speech-to-Speech Translation for Virtual Meetings Using Machine Learning Models
S Karunya, M Jalakandeshwaran, T.N. Vignesh Babu, R. N. Uma · 2023
In our interconnected world, language diversity poses communication challenges, particularly in virtual meetings. Our solution, a Real-Time Speech-to-Speech Translation system for Virtual Meetings, bridges these gaps. It captures speech in one language, providing clear and understandable translations in real-time during virtual meetings. By seamlessly integrating Automatic Speech Recognition (ASR), Machine Translation (MT), and Text-to-Speech (TTS) components, this system transcends language barriers, enabling participants to engage effortlessly and effectively in multilingual virtual interactions. It's more than text; it fosters spoken interaction, revolutionizing cross-lingual communication in virtual meetings. Applications abound, from enhancing global business negotiations to aiding virtual travelers and connecting educators to broader international audiences of diverse languages in virtual educational platforms. In an era where virtual communication is paramount, our project empowers meaningful connections, proving technology's remarkable ability to unite people and transcend language barriers in virtual settings worldwide.