45 citations · 69 across the 14 of their papers we have counts for
Showing 2024Show all
2 papers · 1 filter
eess.AS2024
Less Peaky and More Accurate CTC Forced Alignment by Label Priors
Ruizhe Huang, Xiaohui Zhang, Zhaoheng Ni +9
Connectionist temporal classification (CTC) models are known to have peaky output distributions. Such behavior is not a problem for automatic speech recognition (ASR), but it can c…
eess.AS2024
Acoustic modeling for Overlapping Speech Recognition: JHU Chime-5 Challenge System
Vimal Manohar, Szu-Jui Chen, Zhiqi Wang +3
This paper summarizes our acoustic modeling efforts in the Johns Hopkins University speech recognition system for the CHiME-5 challenge to recognize highly-overlapped dinner party…