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An Investigation of Depressed Speech Detection: Features and Normalization.

, , , and . INTERSPEECH, page 2997-3000. ISCA, (2011)

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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)Voice command generation using Progressive Wavegans., , , , , and . CoRR, (2019)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)Feature selection in multimodal continuous emotion prediction., , , and . ACII Workshops, page 30-37. IEEE Computer Society, (2017)A Comparison of Acoustic and Linguistics Methodologies for Alzheimer's Dementia Recognition., , , , , , , , , and 1 other author(s). INTERSPEECH, page 2182-2186. ISCA, (2020)An Evaluation of the Effect of Anxiety on Speech - Computational Prediction of Anxiety from Sustained Vowels., , , , and . INTERSPEECH, page 4951-4955. ISCA, (2020)Hybrid Network Feature Extraction for Depression Assessment from Speech., , , , , , and . INTERSPEECH, page 4956-4960. ISCA, (2020)