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20242026
most citedClever Hans Effect Found in Automatic Detection of Alzheimer's Disease through Speech

12 citations · 17 across the 8 of their papers we have counts for

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5 papers · 1 filter

eess.AS2025

EGGCodec: A Robust Neural Encodec Framework for EGG Reconstruction and F0 Extraction

Rui Feng, Yuang Chen, Yu Hu +2

This letter introduces EGGCodec, a robust neural Encodec framework engineered for electroglottography (EGG) signal reconstruction and F0 extraction. We propose a multi-scale freque…

cs.CL2025

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…

eess.AS2025

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…

cs.SD2025

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…

eess.AS2025★ 1 cited

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…