7 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…
CoSTA: Cognitive-State-Conditioned TTS Data Augmentation Using ASR Transcripts for Alzheimer's Disease Detection
Yin-Long Liu, Yuanchao Li, Yiming Wang +8
Speech-based Alzheimer's Disease (AD) detection is constrained by scarce pathological speech data. To address this, we propose CoSTA, a Text-to-Speech (TTS)-based data augmentation…
Exploring Gender Bias in Alzheimer's Disease Detection: Insights from Mandarin and Greek Speech Perception
Liu He, Yuanchao Li, Rui Feng +5
Gender bias has been widely observed in speech perception tasks, influenced by the fundamental voicing differences between genders. This study reveals a gender bias in the percepti…
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…