activity
20192026
most citedUnsupervised Speech Domain Adaptation Based on Disentangled Representation Learning for Robust Speech Recognition

7 citations · 8 across the 7 of their papers we have counts for

collaborators

7 papers

cs.SD2026

LoRA-Tuned Large Language Models for Dementia Detection via Multi-View Speech-Derived Features

Jonghyeon Park, Olivier Jiyoun Jung, Myungwoo Oh

Early detection of dementia enables timely intervention, and reflecting cognitive impairment, spontaneous speech offers a non-invasive screening modality. Conventional approaches o…

eess.AS2026

Listening Between the Lines: Joint Learning of ASR Embeddings and LLM-Augmented Linguistics for Dementia Detection

Olivier Jiyoun Jung, Jonghyeon Park, Myungwoo Oh

Early detection of dementia through speech analysis offers a non-invasive screening alternative, but capturing both acoustic and linguistic biomarkers remains challenging. We propo…

cs.CL2025

Data-Driven Mispronunciation Pattern Discovery for Robust Speech Recognition

Anna Seo Gyeong Choi, Jonghyeon Park, Myungwoo Oh

Recent advancements in machine learning have significantly improved speech recognition, but recognizing speech from non-fluent or accented speakers remains a challenge. Previous ef…

cs.CL2024★ 1 cited

Paralinguistics-Aware Speech-Empowered Large Language Models for Natural Conversation

Heeseung Kim, Soonshin Seo, Kyeongseok Jeong +9

Recent work shows promising results in expanding the capabilities of large language models (LLM) to directly understand and synthesize speech. However, an LLM-based strategy for mo…

cs.CL2023

Incorporating L2 Phonemes Using Articulatory Features for Robust Speech Recognition

Jisung Wang, Haram Lee, Myungwoo Oh

The limited availability of non-native speech datasets presents a major challenge in automatic speech recognition (ASR) to narrow the performance gap between native and non-native…

cs.SD2020

Overcoming label noise in audio event detection using sequential labeling

Jae-Bin Kim, Seongkyu Mun, Myungwoo Oh +3

This paper addresses the noisy label issue in audio event detection (AED) by refining strong labels as sequential labels with inaccurate timestamps removed. In AED, strong labels c…

eess.AS2019★ 7 cited

Unsupervised Speech Domain Adaptation Based on Disentangled Representation Learning for Robust Speech Recognition

Jong-Hyeon Park, Myungwoo Oh, Hyung-Min Park

In general, the performance of automatic speech recognition (ASR) systems is significantly degraded due to the mismatch between training and test environments. Recently, a deep-lea…