5 citations · 12 across the 5 of their papers we have counts for
5 papers · 1 filter
Intermediate-layer output Regularization for Attention-based Speech Recognition with Shared Decoder
Jicheng Zhang, Yizhou Peng, Haihua Xu +3
Intermediate layer output (ILO) regularization by means of multitask training on encoder side has been shown to be an effective approach to yielding improved results on a wide rang…
Internal Language Model Estimation based Language Model Fusion for Cross-Domain Code-Switching Speech Recognition
Yizhou Peng, Yufei Liu, Jicheng Zhang +4
Internal Language Model Estimation (ILME) based language model (LM) fusion has been shown significantly improved recognition results over conventional shallow fusion in both intra-…
Minimum word error training for non-autoregressive Transformer-based code-switching ASR
Yizhou Peng, Jicheng Zhang, Haihua Xu +2
Non-autoregressive end-to-end ASR framework might be potentially appropriate for code-switching recognition task thanks to its inherent property that present output token being ind…
E2E-based Multi-task Learning Approach to Joint Speech and Accent Recognition
Jicheng Zhang, Yizhou Peng, Pham Van Tung +3
In this paper, we propose a single multi-task learning framework to perform End-to-End (E2E) speech recognition (ASR) and accent recognition (AR) simultaneously. The proposed frame…
Multilingual Approach to Joint Speech and Accent Recognition with DNN-HMM Framework
Yizhou Peng, Jicheng Zhang, Haobo Zhang +3
Human can recognize speech, as well as the peculiar accent of the speech simultaneously. However, present state-of-the-art ASR system can rarely do that. In this paper, we propose…