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Updated: Jan 18, 2026

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听觉特征提取方法用于强大的病理语音识别

Youssef Zouhir1, Mohamed Zarka1, Lilia El Amraoui2

  • 1Research Laboratory Smart Electricity & ICT, SE&ICT Lab, LR18ES44, National Engineering School of Carthage, University of Carthage, Tunis, Tunisia.

Journal of voice : official journal of the Voice Foundation
|January 15, 2026
PubMed
概括

使用Gammachirp FilterBank的新听力特征提取 (AFE) 方法显著改善了病态语音识别. 这种方法在分类语音障碍方面取得了很高的准确性,优于现有的更好的临床查方法.

关键词:
美国AFE AFE听觉特征提取 听觉特征提取审计过器 银行耳模型 耳模型功能提取 功能提取在Gammachirp过器银行.

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