Recent studies have successfully shown that large language models (LLMs) can be
successfully used for generative error correction (GER) on top of the automatic speech …

In applications involving analysis of wearable sensor data, machine learning techniques that
use features from topological data analysis (TDA) have demonstrated remarkable …

Traditionally, machine learning models are developed for a specific task. Collecting and
processing datasets for each new task are extremely expensive and time-consuming …

Automatic speech recognition (ASR) training can utilize multiple experts as teacher models,
each trained on a specific domain or accent. Teacher models may be opaque in nature …

요 약인공지능 기반 반려동물 피부진단을 위한 전처리 과정으로서, 피부영상으로부터 털을
제거하기 위한 털영역분할 딥러닝 모델이 최근 제안되었다. 그러나, 학습 데이터의 부족으로 …