Our relevant scientific papers

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  Automated speech content analysis to detect depression with large language models: towards multilingual and few-shot capabilities (under review)

  Alexandre DUCORROY, Sélim Benjamin GUESSOUM, Filomène ROQUEFORT, Adrien LESAGE, Xuan-Nga CAO, Alexis BOURLA, Rachid RIAD, 2025
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  Robust fine-tuning of speech recognition models via model merging: application to disordered speech (under review)

  Ducorroy* et al, 2025
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  In-context learning capabilities of Large Language Models to detect suicide risk among adolescents from speech transcripts

  Roquefort* et al, 2025
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  Probing mental health information in speech foundational models (under review)

  Riad* et al, 2025
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  Automated speech analysis for risk detection of depression, anxiety, insomnia, and fatigue in general population

  Riad* et al, 2024
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  Graph methods to calculate spatial disturbances: application to Huntington's Disease's speech

  Chenain et al. 2023
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  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
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  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*
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  Emotion expression through spoken language in Huntington disease

  Gallezot*, Riad* et al. Cortex, 2022
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  Predicting clinical scores in Huntington's disease: a lightweight speech test

  Riad et al.. Journal of Neurology, 2022
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  A comparison study on patient-psychologist voice diarization

  Riad et al. In SLPAT 2022
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  Learning Strides in Convolutional Neural Networks

  Riad et al. Oral and outstanding paper award at ICLR, 2022
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  Vocal markers from sustained phonation in Huntington's Disease

  Riad et al. Interspeech 2020, Shangai
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  Identification of primary and collateral tracks in stuttered speech

  Riad et al. LREC2020, Marseille