Zero-Shot Parkinson's Disease Detection from Speech: Comparing Large Audio and Language Models 事件

Zero-Shot Parkinson's Disease Detection from Speech: Comparing Large Audio and Language Models arXiv:2605.24806v1 Announce Type: cross Abstract: Large audio and language models have recently demonstrated zero-shot reasoning capabilities across various domains. However, it remains unclear how the form of audio input, whether handcrafted acoustic features extracted from speech or the raw audio waveform itself, affects performance for Parkinson's disease (PD) detection across different languages.