Volume 2,Issue 1
Fall 2025
基于语音特征的抑郁症 AI 筛查模型的研究与设计
针对传统抑郁症量表 [2] 筛查效率低的问题，本研究提出基于语音特征的自动筛查模型。通过采集 200例临床患者和健康个体的语音样本，经预处理提取特征后，构建结合 LSTM 时间建模与 Attention 机制的深度学习模型。测试显示模型准确率达 84.62%，F1分数 0.86，在效率和一致性上优于传统量表。
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