.

Alper Idrisoglu1, Ana Luiza Dallora Moraes2, Abbas Cheddad2,3

  • 1Department of Health, Blekinge Institute of Technology, 371 41, Karlskrona, Sweden. alper.idrisoglu@bth.se.

Scientific reports
|March 23, 2025
PubMed
概括

在语音分析中对元音的细分显著改善了使用机器学习模型对慢性阻塞性肺病 (COPD) 的分类. 在CatBoost模型中,母音"a"的第二段显示了最高的准确性.

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