SEAMLESS M4T-POWERED SPEECH TO TEXT WITH GRADIO UI

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SEAMLESS M4T-POWERED SPEECH TO TEXT WITH GRADIO UI

Mr. AJAY R, Mr. DHANA SEKARAN D, Mr. GOWTHAM TJ, Mr. RANJITH KUMAR A, Mr. VASANTH M, Ms. S. NIVEDHA

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.

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