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频谱语音分析协议 (SAP):收性,并发性和准确性有效性

Allan Carlos França da Silva1, Luiz Medeiros de Araújo Lima-Filho1, Anna Alice Almeida1

  • 1Universidade Federal da Paraíba (UFPB), Decision Models and Health Program, João Pessoa, Paraíba, Brazil.

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概括

频谱语音分析协议 (SAP) 在区分异声和非异声声音方面表现出很好的准确性,证明了对语音障碍评估的有效临床潜力.

关键词:
声学分析 声学分析频谱学 频谱学 频谱学验证研究的验证研究.声音的声音的声音的声音声音障碍 声音障碍

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科学领域:

  • 语音语言病理学 语言病理学
  • 声音的声学分析.
  • 生物医学信号处理

背景情况:

  • 失声症是一种语音障碍,需要准确的诊断工具.
  • 频谱分析提供客观的语音评估方法.
  • 频谱语音分析协议 (SAP) 是一种用于语音分析的新工具.

研究的目的:

  • 为了验证光谱语音分析协议 (SAP).
  • 评估SAP在区分异声和非异声个体中的准确性.
  • 为了确定SAP的融合和并发有效性.

主要方法:

  • 使用SAP分析了82个元音 /Ɛ/ 样本和谱图.
  • 使用Cepstral峰值突出 (CPP) 和光滑 (CPPS) 评估了收有效性.
  • 同时有效性使用通用声调偏差级 (GG) 进行评估.
  • 接收器操作特征 (ROC) 曲线分析评估了诊断准确性.

主要成果:

  • 在异声组和非异声组之间,SAP总分数有显著差异.
  • SAP显示了与CPP,CPPS和GG的中等相关性,表明有效性.
  • SAP表现出良好的区分精度 (AUC=82.0%),具有高灵敏度 (91.7%) 和PPV (93.7%).

结论:

  • 在语音分析中,SAP表现出了融合和并发的有效性.
  • SAP有效地区分了异声和非异声个体.
  • 由于SAP的中等特异性,NPV和LR-的临床使用需要谨慎,建议与其他评估结合使用.