PIE: A Personalized Information Embedded model for text-based depression detection
Depression detection based on text analysis has emerged as a research hotspot. Existing
research indicates that patients' personalized characteristics are the primary factor …
research indicates that patients' personalized characteristics are the primary factor …
Enhanced Large Language Models for Effective Screening of Depression and Anxiety
Depressive and anxiety disorders are widespread, necessitating timely identification and
management. Recent advances in Large Language Models (LLMs) offer potential solutions …
management. Recent advances in Large Language Models (LLMs) offer potential solutions …
Behavioral Information Feedback With Large Language Models for Mental Disorders: Perspectives and Insights
M Yang, Y Tao, H Cai, B Hu - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
This edition of the publication includes a robust collection of 104 regular papers and
features a Special Issue on Knowledge-Infused Learning for Computational Social Systems …
features a Special Issue on Knowledge-Infused Learning for Computational Social Systems …
Auto-landmark: Acoustic landmark dataset and open-source toolkit for landmark extraction
In the speech signal, acoustic landmarks identify times when the acoustic manifestations of
the linguistically motivated distinctive features are most salient. Acoustic landmarks have …
the linguistically motivated distinctive features are most salient. Acoustic landmarks have …
Beyond Speech and More: Investigating the Emergent Ability of Speech Foundation Models for Classifying Physiological Time-Series Signals
Despite being trained exclusively on speech data, speech foundation models (SFMs) like
Whisper have shown impressive performance in non-speech tasks such as audio …
Whisper have shown impressive performance in non-speech tasks such as audio …