Prabhjot Kaur

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About

Prabhjot Kaur is a researcher advancing the frontiers of speech technology, with a particular focus on low-resource language processing and speech-to-speech translation. Her work addresses a critical gap in the field: while text-to-text translation systems have achieved broad coverage, speech technology remains inaccessible for the majority of the world’s 7,000+ languages. Kaur’s most cited paper, “Direct Punjabi to English Speech Translation using Discrete Units” (2024), introduces a novel approach that bypasses traditional text-based pipelines by leveraging discrete speech representations. This method enables direct translation between spoken languages without intermediate text, significantly reducing the need for extensive annotated data—a key barrier for under-resourced languages like Punjabi. Though early in its impact, the work has already garnered 2 citations, signaling growing interest in her scalable, data-efficient framework. By tackling the linguistic and technical challenges of Punjabi, a language spoken by over 100 million people, Kaur is not only expanding the reach of speech translation but also championing digital inclusion. Her research holds promise for democratizing access to voice-based technologies, enabling shared experiences across linguistic divides.