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AVEC 2014: the 4th international audio/visual emotion challenge and workshop.

, , , , and . ACM Multimedia, page 1243-1244. ACM, (2014)

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Medium-term speaker states - A review on intoxication, sleepiness and the first challenge., , , , , , and . Comput. Speech Lang., 28 (2): 346-374 (2014)Evaluation of the Pain Level from Speech: Introducing a Novel Pain Database and Benchmarks., , , , , and . ITG Symposium on Speech Communication, page 1-5. VDE / IEEE, (2018)Generalized Two-Stage Rank Regression Framework for Depression Score Prediction from Speech., , , , , and . IEEE Trans. Affect. Comput., 11 (2): 272-283 (2020)Analysis and Classification of Cold Speech Using Variational Mode Decomposition., , and . IEEE Trans. Affect. Comput., 11 (2): 296-307 (2020)"You sound ill, take the day off": Automatic recognition of speech affected by upper respiratory tract infection., , , , and . EMBC, page 3806-3809. IEEE, (2017)DeepVR: Konzeptuelle Grundlagen und Umsetzung eines Virtual Reality basierten Unterstützungssystems in der psychotherapeutischen Depressions-Behandlung., , , , , , , , , and . MuC, page 418-425. ACM, (2021)Sleepiness detection on read speech using simple features., , , and . SpeD, page 1-7. IEEE, (2019)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)Relevant Acoustic Group Features for Automatic Sleepiness Recognition., and . ICT4AWE, page 209-214. SciTePress, (2018)