Search Results for author:
Found 9 papers, 3 papers with code
Speech Corpus for Korean Children with Autism Spectrum Disorder: Towards Automatic Assessment Systems
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.
Comparison of L2 Korean pronunciation error patterns from five L1 backgrounds by using automatic phonetic transcription
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.
Speech Intelligibility Assessment of Dysarthric Speech by using Goodness of Pronunciation with Uncertainty Quantification
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
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.
Automatic Severity Classification of Dysarthric speech by using Self-supervised Model with Multi-task Learning
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
Multilingual analysis of intelligibility classification using English, Korean, and Tamil dysarthric speech datasets
As multilingual analysis, examination on the mean values of acoustic measurements by intelligibility levels is conducted.
Cross-lingual Dysarthria Severity Classification for English, Korean, and Tamil
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).
Caract\'erisation des plosives finales dans des langues d'Asie : une \'etude multilingue du non rel\^achement (Characterization of Stop Consonants in Asian Languages: A two-language Study of Unreleased)
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.
Korean Children's Spoken English Corpus and an Analysis of its Pronunciation Variability
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.
