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I see what you’re saying: the Abu Dhabi AI researchers making video dubbing sync

MBZUAI · Invalid Date

Researchers at MBZUAI have developed Auto-DUB, a system using deep learning, NLP, and CV to improve audio-visual dubbing, particularly for educational videos. The three-step process generates subtitles, creates an audio representation, and synchronizes the audio with lip movements. The system aims to overcome language barriers in e-learning by providing accurate translations and lip-synced audio. Why it matters: This research addresses a critical need in online education by making content more accessible to non-native English speakers, potentially expanding access to global educational resources in the Arab world.

MBZUAI teams shine in competition

MBZUAI · Invalid Date

Two teams from MBZUAI won awards at the IEEE SLT international hackathon held in Qatar. One team won the "Best Potential Impact Project" award for Autodub, a human-in-the-loop AI dubbing platform. The second MBZUAI team won the "Craziest Idea Award" for a commentator voice synthesizer for video games. Why it matters: The wins highlight MBZUAI's strength in applied AI research and its students' ability to develop innovative solutions with practical applications.