4 papers
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…
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…
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…
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…