4 papers
Zero-Shot Cognitive Impairment Detection from Speech Using AudioLLM
Mostafa Shahin, Beena Ahmed, Julien Epps
Cognitive impairment (CI) is of growing public health concern, and early detection is vital for effective intervention. Speech has gained attention as a non-invasive and easily col…
Distinctive Feature Codec: An Adaptive Efficient Speech Representation for Depression Detection
Xiangyu Zhang, Fuming Fang, Peng Gao +3
Large Language Models (LLMs) have demonstrated remarkable success across diverse fields, establishing a powerful paradigm for complex information processing. This has inspired the…
SpeechT-RAG: Reliable Depression Detection in LLMs with Retrieval-Augmented Generation Using Speech Timing Information
Xiangyu Zhang, Hexin Liu, Qiquan Zhang +2
Large Language Models (LLMs) have been increasingly adopted for health-related tasks, yet their performance in depression detection remains limited when relying solely on text inpu…
Rethinking Mamba in Speech Processing by Self-Supervised Models
Xiangyu Zhang, Jianbo Ma, Mostafa Shahin +2
The Mamba-based model has demonstrated outstanding performance across tasks in computer vision, natural language processing, and speech processing. However, in the realm of speech…