7 citations · 8 across the 7 of their papers we have counts for
3 papers · 1 filter
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…
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…