19 citations · 34 across the 20 of their papers we have counts for
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cs.CL2024★ 2 cited
Target conversation extraction: Source separation using turn-taking dynamics
Tuochao Chen, Qirui Wang, Bohan Wu +4
Extracting the speech of participants in a conversation amidst interfering speakers and noise presents a challenging problem. In this paper, we introduce the novel task of target c…
cs.CL2021
Generating Human Readable Transcript for Automatic Speech Recognition with Pre-trained Language Model
Junwei Liao, Yu Shi, Ming Gong +5
Modern Automatic Speech Recognition (ASR) systems can achieve high performance in terms of recognition accuracy. However, a perfectly accurate transcript still can be challenging t…
cs.CL2020★ 19 cited
Improving Readability for Automatic Speech Recognition Transcription
Junwei Liao, Sefik Emre Eskimez, Liyang Lu +5
Modern Automatic Speech Recognition (ASR) systems can achieve high performance in terms of recognition accuracy. However, a perfectly accurate transcript still can be challenging t…