PhD Student
Interdisciplinary Digital Sciences Laboratory (LISN)
Orsay
11.2020 - 02.2024
- Annotated, processed, and extracted measurements from data of spontaneous speech corpora using Python, Matlab and R language.
- Trained, finetuned and tested Deep Neural Network models to improvement quality of estimated prosodic correlates
- Engineered features to represent prosodic correlates.
- Developed predictive models using machine learning, natural language and statistical analysis methods.
- Designed, implemented, and analyzed perceptive linguistic experiments using statistical methods in R and PsyToolKit.