4 papers
Disentangling Acoustic Cues in Alzheimer's Pathology and Perception: The Roles of Language and Gender
Liu He, Yuanchao Li, Yin-Long Liu +5
Acoustic biomarkers show promise for detecting Alzheimer's Disease (AD), yet whether the cues driving diagnostic AI align with those salient to human listeners is underexplored acr…
Leveraging Cascaded Binary Classification and Multimodal Fusion for Dementia Detection through Spontaneous Speech
Yin-Long Liu, Yuanchao Li, Rui Feng +7
This paper presents our submission to the PROCESS Challenge 2025, focusing on spontaneous speech analysis for early dementia detection. For the three-class classification task (Hea…
Decoding Speaker-Normalized Pitch from EEG for Mandarin Perception
Jiaxin Chen, Yiming Wang, Ziyu Zhang +6
The same speech content produced by different speakers exhibits significant differences in pitch contour, yet listeners' semantic perception remains unaffected. This phenomenon may…
Beyond Manual Transcripts: The Potential of Automated Speech Recognition Errors in Improving Alzheimer's Disease Detection
Yin-Long Liu, Rui Feng, Jia-Xin Chen +3
Recent breakthroughs in Automatic Speech Recognition (ASR) have enabled fully automated Alzheimer's Disease (AD) detection using ASR transcripts. Nonetheless, the impact of ASR err…