Pre-trained models for detection and severity level classification of dysarthria from speech

IF 2.4 3区 计算机科学 Q2 ACOUSTICS Speech Communication Pub Date : 2024-02-01 DOI:10.1016/j.specom.2024.103047
Farhad Javanmardi, Sudarsana Reddy Kadiri, P. Alku
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用于从语音中检测构音障碍并对其严重程度进行分类的预训练模型
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来源期刊
Speech Communication
Speech Communication 工程技术-计算机:跨学科应用
CiteScore
6.80
自引率
6.20%
发文量
94
审稿时长
19.2 weeks
期刊介绍: Speech Communication is an interdisciplinary journal whose primary objective is to fulfil the need for the rapid dissemination and thorough discussion of basic and applied research results. The journal''s primary objectives are: • to present a forum for the advancement of human and human-machine speech communication science; • to stimulate cross-fertilization between different fields of this domain; • to contribute towards the rapid and wide diffusion of scientifically sound contributions in this domain.
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