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Depression Detection from Short Utterances via Diverse Smartphones in Natural Environmental Conditions.

, , , and . INTERSPEECH, page 3393-3397. ISCA, (2018)

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Detecting the instant of emotion change from speech using a martingale framework., and . ICASSP, page 5195-5199. IEEE, (2016)Improved ORB Mismatch Elimination Based On Gradient Cosine., , , , , , , and . HPCC/DSS/SmartCity/DependSys, page 1857-1862. IEEE, (2021)Speech Landmark Bigrams for Depression Detection from Naturalistic Smartphone Speech., , and . ICASSP, page 5856-5860. IEEE, (2019)A PLLR and multi-stage Staircase Regression framework for speech-based emotion prediction., and . ICASSP, page 5145-5149. IEEE, (2017)An investigation of emotion changes from speech.. ACII, page 733-736. IEEE Computer Society, (2015)Representation Learning Through Cross-Modal Conditional Teacher-Student Training For Speech Emotion Recognition., , and . ICASSP, page 6442-6446. IEEE, (2022)Depression Classification Using n-Gram Speech Errors from Manual and Automatic Stroop Color Test Transcripts., , , and . EMBC, page 1631-1635. IEEE, (2021)Automatic Elicitation Compliance for Short-Duration Speech Based Depression Detection., , , and . ICASSP, page 7283-7287. IEEE, (2021)An Investigation of Emotion Dynamics and Kalman Filtering for Speech-Based Emotion Prediction., and . INTERSPEECH, page 3301-3305. ISCA, (2017)An Investigation of Partition-Based and Phonetically-Aware Acoustic Features for Continuous Emotion Prediction from Speech., and . IEEE Trans. Affect. Comput., 11 (4): 653-668 (2020)