no code implementations • 23 Feb 2024 • SeonWoo Lee, Jihyun Mun, Sunhee Kim, Minhwa Chung
Despite the growing demand for digital therapeutics for children with Autism Spectrum Disorder (ASD), there is currently no speech corpus available for Korean children with ASD.
1 code implementation • 19 Jun 2023 • Eun Jung Yeo, Hyungshin Ryu, Jooyoung Lee, Sunhee Kim, Minhwa Chung
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 using automatic phonetic transcription.
1 code implementation • 28 May 2023 • Eun Jung Yeo, Kwanghee Choi, Sunhee Kim, Minhwa Chung
This paper proposes an improved Goodness of Pronunciation (GoP) that utilizes Uncertainty Quantification (UQ) for automatic speech intelligibility assessment for dysarthric speech.
no code implementations • 3 Nov 2022 • Jihyun Mun, Sunhee Kim, Myeong Ju Kim, Jiwon Ryu, Sejoong Kim, Minhwa Chung
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 identification, and severity prediction.
1 code implementation • 27 Oct 2022 • Eun Jung Yeo, Kwanghee Choi, Sunhee Kim, Minhwa Chung
To tackle the problem, we propose a novel automatic severity assessment method for dysarthric speech, using the self-supervised model in conjunction with multi-task learning.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +3
no code implementations • 27 Sep 2022 • Eun Jung Yeo, Sunhee Kim, Minhwa Chung
As multilingual analysis, examination on the mean values of acoustic measurements by intelligibility levels is conducted.
no code implementations • 26 Sep 2022 • Eun Jung Yeo, Kwanhee Choi, Sunhee Kim, Minhwa Chung
In order to validate the effectiveness of our proposed method, two baseline experiments are conducted: experiments using the intersection set of mono-lingual feature sets (Intersection) and experiments using the union set of mono-lingual feature sets (Union).
no code implementations • JEPTALNRECITAL 2020 • Thi-Thuy-Hien Tran, Nathalie Vall{\'e}e, Christophe Savariaux, Inyoung Kim, Sunhee Kim
Cette {\'e}tude propose de caract{\'e}riser le non rel{\^a}chement des plosives finales /p, t, k/ de deux langues d{'}Asie, tonale (vietnamien) et non tonale (cor{\'e}en), du point de vue a{\'e}rodynamique et glottographique.
no code implementations • LREC 2012 • Hyejin Hong, Sunhee Kim, Minhwa Chung
This paper introduces a corpus of Korean-accented English speech produced by children (the Korean Children's Spoken English Corpus: the KC-SEC), which is constructed by Seoul National University.