4 citations · 6 across the 22 of their papers we have counts for
4 papers · 1 filter
Opening the Black Box of wav2vec Feature Encoder
Kwanghee Choi, Eun Jung Yeo
Self-supervised models, namely, wav2vec and its variants, have shown promising results in various downstream tasks in the speech domain. However, their inner workings are poorly un…
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…
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…
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…