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Using Speech to Predict Sequentially Measured Cortisol Levels During a Trier Social Stress Test.

, , , , , , , , and . INTERSPEECH, page 534-538. ISCA, (2019)

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Variability compensation in small data: Oversampled extraction of i-vectors for the classification of depressed speech., , , and . ICASSP, page 970-974. IEEE, (2014)Multi-instance Learning for Bipolar Disorder Diagnosis using Weakly Labelled Speech Data., , , , , and . PDH, page 79-83. ACM, (2019)Deep End-to-End Representation Learning for Food Type Recognition from Speech., , , and . ICMI, page 574-578. ACM, (2018)Enhancing Speech-Based Depression Detection Through Gender Dependent Vowel-Level Formant Features., , , and . AIME, volume 10259 of Lecture Notes in Computer Science, page 209-214. Springer, (2017)Voice command generation using Progressive Wavegans., , , , , and . CoRR, (2019)What is my Dog Trying to Tell Me? the Automatic Recognition of the Context and Perceived Emotion of Dog Barks., , and . ICASSP, page 5134-5138. IEEE, (2018)Feature selection in multimodal continuous emotion prediction., , , and . ACII Workshops, page 30-37. IEEE Computer Society, (2017)Recognition of Echolalic Autistic Child Vocalisations Utilising Convolutional Recurrent Neural Networks., , , , , , , , and . INTERSPEECH, page 2334-2338. ISCA, (2018)An Investigation of Depressed Speech Detection: Features and Normalization., , , and . INTERSPEECH, page 2997-3000. ISCA, (2011)Continuous Emotion Recognition in Speech - Do We Need Recurrence?, , and . INTERSPEECH, page 2808-2812. ISCA, (2019)