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分析Wav2Vec 1.0嵌入式的跨数据库帕金森病检测和语音特征提取的嵌入式

Ondřej Klempíř1, Radim Krupička1

  • 1Department of Biomedical Informatics, Faculty of Biomedical Engineering, Czech Technical University in Prague, 16000 Prague, Czech Republic.

Sensors (Basel, Switzerland)
|September 14, 2024
PubMed
概括

使用wav2vec的深度学习语音模型准确地检测帕金森病 (PD) 并预测语音特征. 跨任务的共享功能表明了通用PD语音评估模型的改进概括性.

关键词:
帕金森病是帕金森氏症的一种疾病.这是分类分类的分类.交叉数据库交叉数据库.重要的特征 重要的特征 重要的特征这是一个回归回归的回归.一个 wav2vec 和一个 wav2vec

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