3 citations · 4 across the 8 of their papers we have counts for
8 papers
Comparison of L2 Korean pronunciation error patterns from five L1 backgrounds by using automatic phonetic transcription
Eun Jung Yeo, Hyungshin Ryu, Jooyoung Lee +2
This paper presents a large-scale analysis of L2 Korean pronunciation error patterns from five different language backgrounds, Chinese, Vietnamese, Japanese, Thai, and English, by…
Speech Intelligibility Assessment of Dysarthric Speech by using Goodness of Pronunciation with Uncertainty Quantification
Eun Jung Yeo, Kwanghee Choi, Sunhee Kim +1
This paper proposes an improved Goodness of Pronunciation (GoP) that utilizes Uncertainty Quantification (UQ) for automatic speech intelligibility assessment for dysarthric speech.…
A speech corpus for chronic kidney disease
Jihyun Mun, Sunhee Kim, Myeong Ju Kim +3
In this study, we present a speech corpus of patients with chronic kidney disease (CKD) that will be used for research on pathological voice analysis, automatic illness identificat…
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…