303 citations · 631 across the 26 of their papers we have counts for
9 papers · 1 filter
Writer-Aware CNN for Parsimonious HMM-Based Offline Handwritten Chinese Text Recognition
Zi-Rui Wang, Jun Du, Jia-Ming Wang
Recently, the hybrid convolutional neural network hidden Markov model (CNN-HMM) has been introduced for offline handwritten Chinese text recognition (HCTR) and has achieved state-o…
TextMountain: Accurate Scene Text Detection via Instance Segmentation
Yixing Zhu, Jun Du
In this paper, we propose a novel scene text detection method named TextMountain. The key idea of TextMountain is making full use of border-center information. Different from previ…
Acoustics-guided evaluation (AGE): a new measure for estimating performance of speech enhancement algorithms for robust ASR
Li Chai, Jun Du, Chin-Hui Lee
One challenging problem of robust automatic speech recognition (ASR) is how to measure the goodness of a speech enhancement algorithm (SEA) without calculating the word error rate…
Parsimonious HMMs for Offline Handwritten Chinese Text Recognition
Wenchao Wang, Jun Du, Zi-Rui Wang
Recently, hidden Markov models (HMMs) have achieved promising results for offline handwritten Chinese text recognition. However, due to the large vocabulary of Chinese characters w…
DenseRAN for Offline Handwritten Chinese Character Recognition
Wenchao Wang, Jianshu Zhang, Jun Du +2
Recently, great success has been achieved in offline handwritten Chinese character recognition by using deep learning methods. Chinese characters are mainly logographic and consist…
Attention Based Fully Convolutional Network for Speech Emotion Recognition
Yuanyuan Zhang, Jun Du, Zirui Wang +1
Speech emotion recognition is a challenging task for three main reasons: 1) human emotion is abstract, which means it is hard to distinguish; 2) in general, human emotion can only…