Our relevant scientific papers
Automated speech content analysis to detect depression with large language models: towards multilingual and few-shot capabilities (under review)
Riad* et al, 2025
Robust fine-tuning of speech recognition models via model merging: application to disordered speech
Ducorroy* et al, 2025
In-context learning capabilities of Large Language Models to detect suicide risk among adolescents from speech transcripts
Roquefort* et al, 2025
Probing mental health information in speech foundational models
Riad* et al, 2025
Automated speech analysis for risk detection of depression, anxiety, insomnia, and fatigue in general population
Riad* et al, 2024
Graph methods to calculate spatial disturbances: application to Huntington's Disease's speech
Chenain et al. 2023
Linguistic analysis to predict psychiatric status in Huntington's Disease
Quang Tuan Rémy Nguyen, Rachid Riad, Hadrien Titeux, Xuan-Nga Cao, Katia Youssov, Emmanuel Dupoux, Anne-Catherine Bachoud-Lévi
Disfluencies in spontaneous speech as a marker in Huntington's disease
CJubin, H Titeux, L Lemoine, K Youssov, E DuDoux, R Riad*, Anne-Catherine Bachoud-Lévi*
Emotion expression through spoken language in Huntington disease
Gallezot*, Riad* et al. Cortex, 2022
Predicting clinical scores in Huntington's disease: a lightweight speech test
Riad et al.. Journal of Neurology, 2022
A comparison study on patient-psychologist voice diarization
Riad et al. In SLPAT 2022
Learning Strides in Convolutional Neural Networks
Riad et al. Oral and outstanding paper award at ICLR, 2022
Vocal markers from sustained phonation in Huntington's Disease
Riad et al. Interspeech 2020, Shangai
Identification of primary and collateral tracks in stuttered speech
Riad et al. LREC2020, Marseille