‘EmoDubber’ to Deliver Emotional Control in AI Dubbing, Researchers Hope – slator.com

In a December 12, 2024 paper, researchers from the Chinese Academy of Sciences, Macquarie University, Peking University, and the University of Adelaide proposed EmoDubber, an AI dubbing system that offers high-quality lip synchronization, clear pronunciation, and dynamic control over emotion type and intensity. Traditional AI dubbing systems have struggled with synchronizing lip movements to audio […]

How Apple Wants to Fix Hallucinations in AI Translation – slator.com

In a January 28, 2025, paper Rajen Chatterjee and Sarthak Garg from Apple, along with Zilu Tang from Boston University, presented a framework for mitigating translation hallucinations in large language models (LLMs). According to the researchers, “this is among the first works to demonstrate how to mitigate translation hallucination in LLMs.” They explained that LLM-based […]