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An Investigation of Annotation Delay Compensation and Output-Associative Fusion for Multimodal Continuous Emotion Prediction.

, , , , , , and . AVEC@ACM Multimedia, page 41-48. ACM, (2015)

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Elicitation Design for Acoustic Depression Classification: An Investigation of Articulation Effort, Linguistic Complexity, and Word Affect., , and . INTERSPEECH, page 834-838. ISCA, (2017)An Investigation of Emotional Speech in Depression Classification., , , and . INTERSPEECH, page 485-489. ISCA, (2016)Automatic depression classification based on affective read sentences: Opportunities for text-dependent analysis., , and . Speech Commun., (2019)Breaking Age Barriers With Automatic Voice-Based Depression Detection., , and . IEEE Pervasive Comput., 21 (2): 10-19 (2022)Depression Classification Using n-Gram Speech Errors from Manual and Automatic Stroop Color Test Transcripts., , , and . EMBC, page 1631-1635. IEEE, (2021)Analysis of phonetic markedness and gestural effort measures for acoustic speech-based depression classification., , and . ACII Workshops, page 165-170. IEEE Computer Society, (2017)Automatic Detection of COVID-19 Based on Short-Duration Acoustic Smartphone Speech Analysis., , , , and . J. Heal. Informatics Res., 5 (2): 201-217 (2021)Read speech voice quality and disfluency in individuals with recent suicidal ideation or suicide attempt., , , , , and . Speech Commun., (2021)Domain Adaptation for Enhancing Speech-Based Depression Detection in Natural Environmental Conditions Using Dilated CNNs., , , , , and . INTERSPEECH, page 4561-4565. ISCA, (2020)An investigation of linguistic stress and articulatory vowel characteristics for automatic depression classification., , and . Comput. Speech Lang., (2019)