Agha Ali Raza

Lahore University of Management Sciences

Papers

Total Citations

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About

Agha Ali Raza is a leading researcher in speech and language processing, with a particular focus on low-resource languages and their applications in the developing world. His work bridges artificial intelligence, human-computer interaction, and social impact, most notably through his pioneering contributions to speech emotion recognition for the Urdu language. In his highly cited 2022 paper, he developed robust models to detect emotional states from Urdu speech, addressing a critical gap in affective computing for South Asian languages. Beyond this, Raza is widely recognized for his groundbreaking work on voice-based information systems for marginalized communities, including the award-winning "Polly" project, which enables illiterate users to access digital content via speech. His research has garnered over 16 citations for his Urdu emotion recognition work alone, with his broader portfolio accumulating significant attention for its practical deployment in healthcare, agriculture, and education. Raza’s achievements include multiple best paper awards and recognition from organizations like Google and the World Bank, cementing his reputation as a researcher who not only advances the science of speech processing but also ensures its benefits reach those most in need.