Modular video dubbing pipeline translates English videos to Hindi, indicating feasibility for multilingual accessibility.
The increasing availability of digital video content has created a strong need for multilingual accessibility. A large amount of useful educational, informational, and media content is available primarily in English, which limits accessibility for viewers who are more comfortable with Hindi. This work presents a modular English-to-Hindi video dubbing pipeline designed as a practical proof-of-concept system. The proposed workflow processes a source video in multiple stages, including project initialization, audio extraction, speech-oriented preprocessing, speech-to-text conversion, timestamp generation, speaker- or segment-wise organization, English-to-Hindi translation, Hindi speech generation, timing-aware handling, and final audio-video recombination. Rather than proposing a new standalone model, the work focuses on integrating multiple processing stages into a connected engineering workflow. The implemented prototype is supported by runtime evidence showing successful progression through upload, audio extraction, audio splitting, transcript generation, speaker splitting, translation, audio generation, audio combination, and final video writing. The work demonstrates that end-to-end English-to-Hindi dubbing is feasible in a prepared runtime environment. At the same time, it highlights important practical challenges such as translation naturalness, timing synchronization, speaker consistency, runtime dependency, reproducibility, and the gap between a functional prototype and production-grade dubbing quality. This version cleanly regenerates the PDF from the corrected source document and removes the residual old author text layer that remained in the previous version.
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Chaubey et al. (2026) studied this question.
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