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Chronic sleepiness, and specifically Excessive Daytime Sleepiness (EDS), impacts everyday life and increases the risks of accidents. Compared with traditional measures (EEG), the detection of objective EDS through voice benefits from its ease to be implemented in ecological conditions and to be sober in terms of data processing and costs. Contrary to previous works focusing on short-term sleepiness estimation, this study focuses on long-term sleepiness detection through voice. Using thedoi:10.21437/interspeech.2021-291 dblp:conf/interspeech/MartinRBP21 fatcat:gb5fku357fh73bvkqzquyjbjhy