Abstract: Our initiative creates a dubbing system powered by AI to convert English audio into various Indian regional languages, thus improving accessibility. By utilizing natural language processing (NLP), speech-to-text (STT), and text-to-speech (TTS) technologies, the system captures spoken language, translates it into text, and produces audio that sounds natural when dubbed [1]. This automated solution streamlines the dubbing process, making it quicker, more affordable, and scalable, which is advantageous for sectors like education, entertainment, and business. It minimizes the need for manual dubbing while enhancing speech fluency and synchronization [2]. We tackle challenges such as timing adjustments and linguistic precision to ensure translations sound natural [3]. Future improvements could feature real-time dubbing capabilities and advanced voice cloning techniques to further enhance quality and maintain speaker consistency [4].
Keywords: AI- Powered Dubbing, Speech-to-Text, Text-to-Speech, Natural Language Processing (NLP), Multilingual accessibility
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DOI:
10.17148/IJARCCE.2025.14368
