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cs.CL2022
Automatic Severity Classification of Dysarthric speech by using Self-supervised Model with Multi-task Learning
Eun Jung Yeo, Kwanghee Choi, Sunhee Kim +1
Automatic assessment of dysarthric speech is essential for sustained treatments and rehabilitation. However, obtaining atypical speech is challenging, often leading to data scarcit…
cs.CL2022
Cross-lingual Dysarthria Severity Classification for English, Korean, and Tamil
Eun Jung Yeo, Kwanghee Choi, Sunhee Kim +1
This paper proposes a cross-lingual classification method for English, Korean, and Tamil, which employs both language-independent features and language-unique features. First, we e…
cs.CL2022
Multilingual analysis of intelligibility classification using English, Korean, and Tamil dysarthric speech datasets
Eun Jung Yeo, Sunhee Kim, Minhwa Chung
This paper analyzes dysarthric speech datasets from three languages with different prosodic systems: English, Korean, and Tamil. We inspect 39 acoustic measurements which reflect t…