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Efficient Pause Extraction and Encode Strategy for Alzheimer's Disease Detection Using Only Acoustic Features from Spontaneous Speech

Engineering and Technology

Efficient Pause Extraction and Encode Strategy for Alzheimer's Disease Detection Using Only Acoustic Features from Spontaneous Speech

J. Liu, F. Fu, et al.

Discover an innovative method for detecting Alzheimer's Disease through speech analysis! This research, conducted by Jiamin Liu, Fan Fu, Liang Li, Junxiao Yu, Dacheng Zhong, Songsheng Zhu, Yuxuan Zhou, Bin Liu, and Jianqing Li, reveals how extracting speech pauses and utilizing advanced machine learning can significantly improve diagnosis accuracy. The findings highlight the potential of acoustic features in health technology.

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