5 citations · 7 across the 5 of their papers we have counts for
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eess.AS2023
Improving Frame-level Classifier for Word Timings with Non-peaky CTC in End-to-End Automatic Speech Recognition
Xianzhao Chen, Yist Y. Lin, Kang Wang +2
End-to-end (E2E) systems have shown comparable performance to hybrid systems for automatic speech recognition (ASR). Word timings, as a by-product of ASR, are essential in many app…
eess.AS2022★ 1 cited
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…
eess.AS2022★ 5 cited
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-…