67 citations · 183 across the 27 of their papers we have counts for
4 papers · 1 filter
Alternative Pseudo-Labeling for Semi-Supervised Automatic Speech Recognition
Han Zhu, Dongji Gao, Gaofeng Cheng +3
When labeled data is insufficient, semi-supervised learning with the pseudo-labeling technique can significantly improve the performance of automatic speech recognition. However, p…
Online Hybrid CTC/Attention End-to-End Automatic Speech Recognition Architecture
Haoran Miao, Gaofeng Cheng, Pengyuan Zhang +1
Recently, there has been increasing progress in end-to-end automatic speech recognition (ASR) architecture, which transcribes speech to text without any pre-trained alignments. One…
ForkNet: Simultaneous Time and Time-Frequency Domain Modeling for Speech Enhancement
Feng Dang, Qi Hu, Pengyuan Zhang +1
Previous research in speech enhancement has mostly focused on modeling time or time-frequency domain information alone, with little consideration given to the potential benefits of…
Speech Corpora Divergence Based Unsupervised Data Selection for ASR
Changfeng Gao, Gaofeng Cheng, Pengyuan Zhang +1
Selecting application scenarios matching data is important for the automatic speech recognition (ASR) training, but it is difficult to measure the matching degree of the training c…