About
Natacha Miniconi is a PhD candidate at the Computer Science Laboratory (LIUM) of the University of Le Mans. Her research focuses on optimizing human intervention in synthetic speech quality assessment through active learning approaches for adaptability. She holds a linguistics degree from Sorbonne Nouvelle and a master's in natural language processing (NLP).
Her research interests include speech synthesis, machine learning, and cross-lingual adaptation. Recent work explores adaptive systems for cross-lingual/domain annotation strategies in speech quality evaluation.
Publications include a 2025 Interspeech paper on MOS prediction frameworks. No scientific awards are listed, though her work is part of ongoing research at LIUM. She is affiliated with the LIUM lab and contributes to computational linguistics projects.
