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[1]Cross-Lingual Alzheimer’s Disease Speech Detection: Polarity Inversion and Few-Shot Calibration Strategies.
[2]Multidimensional Prosodic and Semantic Coherence Modeling for Mandarin Mild Cognitive Impairment Detection.
[3]Speech Depression Screening via Multi-Scale Feature Enhancement and Emotion-Aware Contrastive Learning.
[4]Cross-Modal Alignment and Rectified Flow-Based Latent Representation Synthesis for Enhanced Speech-Driven Alzheimer’s Disease Detection.
[5]吴梅红,Adding irrelevant information to the content prime reduces the prime-induced unmasking effect on speech recognition.[J].Hearing Research,283((1-2)):136-143.
[6]吴梅红,Effects of aging on the ability to benefit from prior knowledge of message content in masked speech recognition.[J].Speech Communication,54(4):529-542.
[7]Meihong Wu,老龄化对F0轮廓线索在汉语言语识别去掩蔽作用的影响.心理学报,2022,55(01):94-105.
[8]Meihong Wu.A Computational Model for Evaluating Transient Auditory Storage of Acoustic Features in Normal Listeners.Sensors,2022,22(13):
[9]Meihong Wu.An EEG Classification-Based Method for Single-Trial N170 Latency Detection and Estimation.Computational and Mathematical Methods in Medicine,2022
[10]Meihong Wu,Effect of F0 contour on perception of Mandarin Chinese speech against masking.PLOS ONE,2019,14(1):
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