Wiam Fadel

Université Sorbonne Paris Nord, Mohamed I University

Papers

Total Citations

H-Index

About

Wiam Fadel is a researcher advancing the frontiers of human-robot interaction, with a primary focus on speech recognition and affective computing for social robots. Her work tackles the critical challenge of enabling robots to understand and respond to human speech and emotions in real-world settings. Fadel’s most cited paper, “Adapting Off-the-Shelf Speech Recognition Systems for Novel Words” (2023, 6 citations), addresses a fundamental limitation of current systems: their inability to recognize Out-of-Vocabulary words like proper nouns and new terms—a key barrier to fluid human-robot dialogue. Building on this, her study “Which French speech recognition system for assistant robots?” (2022, 6 citations) provides a practical, time-saving evaluation of commercial French-language systems, guiding developers in selecting the most effective tool for assistant robots. Fadel also explores the emotional dimension of interaction in “How Does a Social Robot Analyze Emotions?” (2022) and the broader intelligence frameworks in “Which Intelligence for Human-Machine Dialogue Systems?” (2021). With a cumulative impact of 16 citations, her work is foundational for creating more adaptable, empathetic, and linguistically robust social robots—paving the way for seamless human-machine collaboration.