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Hierarchical Attention Transfer Networks for Depression Assessment from Speech.

, , , , , and . ICASSP, page 7159-7163. IEEE, (2020)

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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)Fitbeat: COVID-19 Estimation based on Wristband Heart Rate., , , , , , , , , and 19 other author(s). CoRR, (2021)Evaluating the Impact of Voice Activity Detection on Speech Emotion Recognition for Autistic Children., , , , , , , , , and 2 other author(s). Frontiers Comput. Sci., (2022)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)Implementing Gender-Dependent Vowel-Level Analysis for Boosting Speech-Based Depression Recognition., , , and . INTERSPEECH, page 3266-3270. ISCA, (2017)Hybrid Network Feature Extraction for Depression Assessment from Speech., , , , , , and . INTERSPEECH, page 4956-4960. ISCA, (2020)