Nimra Zaheer

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About

Nimra Zaheer is a pioneering researcher in speech emotion recognition, with a particular focus on the Urdu language—a domain that has seen limited prior exploration. Her work addresses a critical gap in affective computing: the scarcity of emotional speech datasets for under-resourced languages. Zaheer’s most influential contribution is the development of SEMOUR (Scripted Emotional Speech Repository for Urdu), the first-ever scripted emotional speech dataset for Urdu, which she introduced in 2021. This resource has become foundational for training reliable speech emotion recognition systems, enabling researchers to move beyond the few well-resourced languages like English, German, and Italian. Her subsequent 2022 study on Urdu speech emotion recognition, which builds on SEMOUR, has already garnered 16 citations, reflecting its immediate impact. Through these efforts, Zaheer has not only advanced multilingual affective computing but also laid the groundwork for culturally and linguistically inclusive AI systems. Her work is especially valuable for students and researchers interested in low-resource language technologies, demonstrating how targeted dataset creation can unlock new frontiers in human-computer interaction.