MONITORING BRAIN HEALTH
THROUGH SPEECH
Our voice-based technology provides an objective & replicable tool to monitor the evolution of psychiatric disorders, in-clinic or at home.
WE IMPROVE PATIENT MONITORING IN PSYCHIATRY
The Problem
Psychiatry is a major public health issue, with huge (yet increasing) prevalence in a context of restrained public health budgets. Quality of care can also be improved: 1 in 2 patients is re-hospitalized within 12 months; bipolar disorders are diagnosed on average 10 years after the onset of the symptoms; some patients need 2.5 years to find the right antidepressant treatment.
What we do
Callyope enables psychiatrists to deliver personalized and outcome-based care with remote patient monitoring capabilities. We ambition to improve quality of care by shortening the time to find the right treatment, adjust treatment as needed and prevent relapses to avoid rehospitalization.
How it works
The patient performs a 1-minute voice test on a smartphone, either in-clinic or at-home. Callyope’s technology analyzes the patient’s speech to predict psychiatric clinical scores, assess fatigue and estimate cognition deficits.
Why We Care
1 in 5
Europeans suffer from mental health disorders
4% of EU GDP
Overall costs of mental health (direct & indirect)
2.5 years
Before some patients find the right antidepressant treatment
4x
Premature death rate for patients with severe psychiatric disorders
Who we are
Founders
Scientific & Clinical Advisors
Supported by
The Science
Our technology examines both the voice (acoustic) and the language (content) of patients’ productions.
We develop our own natural language processing (NLP) and signal processing techniques to automate the extraction of speech biomarkers.
From a 1-minute speech snippet, we extract various features such as vocabulary, speech rate, prosody, intelligibility and perseveration to assess motor, cognitive and psychiatric symptoms.
Select Publications
Predicting clinical scores in Huntington's disease: a lightweight speech test. (2022)
Riad, R., Lunven, M., Titeux, H., Cao, X.N., Bagnou, H.J., Lemoine, L., Montillot, J., Sliwinski, A., Youssov, K., Cleret de Langavant, L., Dupoux, E. & Bachoud-Lévi, A.C. ; Journal of Neurology, 269, 5008-5021.
ReadEmotion expression through spoken language in Huntington disease. (2022)
Gallezot, C., Riad, R., Titeux, H., Lemoine, L., Montillot, J., Sliwinski, A., Bagnou Hamet, J., Cao, X.N., Youssov, K., Dupoux, E. & Bachoud-Lévi, A.C. ; Cortex, 155, 150-161.
ReadA comparison study on patient-psychologist voice diarization. (2022)
Riad, R., Titeux, H., Lemoine, L., Montillot, J., Sliwinski, A., Bagnou Hamet, J., Cao, X.N., Bachoud-Lévi, A.C. & Dupoux, E. ; In Ninth Workshop on Speech and Language Processing for Assistive Technologies (SLPAT-2022), pages 30–36, Dublin, Ireland. Association for Computational Linguistics.
ReadIdentification of Primary and Collateral Tracks in Stuttered Speech. (2020)
Riad, R., Rudzicz, F., Bachoud-Lévi, A.C., & Dupoux, E. ; In LREC, (pp 1681--1688).
ReadContact Us
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