SEAMLESS M4T-POWERED SPEECH TO TEXT WITH GRADIO UI

Abstract

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— Artificial Intelligence, Multilingual Communication, Speech Recognition, Speech-to-Text Translation, User Interface Design, Gradio UI, Seamless M4T.