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Probabilistic acoustic volume analysis for speech affected by depression.

, , , and . INTERSPEECH, page 1238-1242. ISCA, (2014)

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The INTERSPEECH 2011 Speaker State Challenge., , , , and . INTERSPEECH, page 3201-3204. ISCA, (2011)Relevance vector machine for depression prediction., , , and . INTERSPEECH, page 110-114. ISCA, (2015)Are men more sleepy than women or does it only look like - Automatic analysis of sleepy speech., , , , , , and . ICASSP, page 995-999. IEEE, (2014)"You sound ill, take the day off": Automatic recognition of speech affected by upper respiratory tract infection., , , , and . EMBC, page 3806-3809. IEEE, (2017)Medium-term speaker states - A review on intoxication, sleepiness and the first challenge., , , , , , and . Computer Speech & Language, 28 (2): 346-374 (2014)Automatic modelling of depressed speech: relevant features and relevance of gender., , , , and . INTERSPEECH, page 1248-1252. ISCA, (2014)Sleepiness detection on read speech using simple features., , , and . SpeD, page 1-7. IEEE, (2019)Using prosodic and spectral characteristics for sleepiness detection., and . INTERSPEECH, page 1841-1844. ISCA, (2007)Detecting fatigue from steering behaviour applying continuous wavelet transform., , , , , and . MB, page 24:1-24:4. ACM, (2010)Applying nonlinear dynamics features for speech-based fatigue detection., , , , , and . MB, page 23:1-23:5. ACM, (2010)