When LLMs Meets Acoustic Landmarks: An Efficient Approach to Integrate Speech into Large Language Models for Depression Detection

Ähnliche Einträge

• SpeechT-RAG: Reliable Depression Detection in LLMs with Retrieval-Augmented Generation Using Speech Timing Information
  von: Zhang, Xiangyu, et al.
  Veröffentlicht: (2025)
• Mamba in Speech: Towards an Alternative to Self-Attention
  von: Zhang, Xiangyu, et al.
  Veröffentlicht: (2024)
• Auto-Landmark: Acoustic Landmark Dataset and Open-Source Toolkit for Landmark Extraction
  von: Zhang, Xiangyu, et al.
  Veröffentlicht: (2024)
• Why Pre-trained Models Fail: Feature Entanglement in Multi-modal Depression Detection
  von: Zhang, Xiangyu, et al.
  Veröffentlicht: (2025)
• Zero-Shot Cognitive Impairment Detection from Speech Using AudioLLM
  von: Shahin, Mostafa, et al.
  Veröffentlicht: (2025)