1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CL2025
Acoustically Precise Hesitation Tagging Is Essential for End-to-End Verbatim Transcription Systems
Jhen-Ke Lin, Hao-Chien Lu, Chung-Chun Wang +2
Verbatim transcription for automatic speaking assessment demands accurate capture of disfluencies, crucial for downstream tasks like error analysis and feedback. However, many ASR…
cs.CV2022★ 1 cited
Robust Object Detection With Inaccurate Bounding Boxes
Chengxin Liu, Kewei Wang, Hao Lu +2
Learning accurate object detectors often requires large-scale training data with precise object bounding boxes. However, labeling such data is expensive and time-consuming. As the…