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Vincent P. Martin

4 accepted papers

2024

Automatic Detection Of Sleepiness-Related Syndromes and Symptoms Using Voice and Speech Biomarkers

ICASSP 2024accepted

This article is about the automatic estimation of sleepiness in hypersomnia patients recorded during a reading task. Based on the Multiple Sleep Latency Corpus, our main contribution is to explore new formulations of sleepiness detection in speech by specifying and performing five sleepiness-related…

Cited by 0SourceScholar
2024

Estimating Symptoms and Clinical Signs Instead of Disorders: The Path Toward The Clinical Use of Voice and Speech Biomarkers In Psychiatry

ICASSP 2024accepted

Despite the continuous innovation in voice biomarkers domain for more than a decade and the apparent need for clinicians to have objective diagnostic tools, no device has yet been implemented in real clinical settings or widely adopted by clinicians. After giving a short overview of the literature,…

Cited by 0SourceScholar
2024

Why Voice Biomarkers of Psychiatric Disorders Are Not Used in Clinical Practice? Deconstructing the Myth of the Need for Objective Diagnosis

COLING 2024main

Given the high prevalence of mental disorders and the significant diagnostic delays and difficulties in patient follow-up, voice biomarkers hold the promise of improving access to care and therapeutic follow-up for people with psychiatric disorders. Yet, despite many years of successful research in…

Cited by 1SourcePDFScholar
2023

"Prediction of Sleepiness Ratings from Voice by Man and Machine": A Perceptual Experiment Replication Study

ICASSP 2023accepted

Following the release of the SLEEP corpus during the Interspeech 2019 paralinguistic continuous sleepiness estimation challenge, a paper presented at Interspeech 2020 by Huckvale et al. examined the reasons for the poor performance of the models proposed for this task. Careful analyses of the corpus…

Cited by 0SourceScholar