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Papers
Identifying Vocal and Facial Biomarkers of Depression in Large-Scale Remote Recordings: A Multimodal Study Using Mixed-Effects Modeling
Interspeech 2025
Leveraging Ordinal Information for Speech-based Depression Classification
Interspeech 2025
Towards the Objective Characterisation of Major Depressive Disorder Using Speech Data from a 12-week Observational Study with Daily Measurements
Interspeech 2025
Delving into the Depths: Evaluating Depression Severity through BDI-biased Summaries
EACL 2024
Monitoring Depression Severity and Symptoms in User-Generated Content: An Annotation Scheme and Guidelines
ACL 2024
Classifying depression symptom severity: Assessment of speech representations in personalized and generalized machine learning models.
Interspeech 2023
Dyadic Interaction Assessment from Free-living Audio for Depression Severity Assessment
Interspeech 2022
IISERB@LT-EDI-ACL2022: A Bag of Words and Document Embeddings Based Framework to Identify Severity of Depression Over Social Media
ACL 2022
Into the Wild: Transitioning from Recognizing Mood in Clinical Interactions to Personal Conversations for Individuals with Bipolar Disorder
Interspeech 2019
An Affect Prediction Approach Through Depression Severity Parameter Incorporation in Neural Networks
Interspeech 2017