6 citations · 8 across the 14 of their papers we have counts for
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eess.AS2021★ 6 cited
Improving Hybrid CTC/Attention End-to-end Speech Recognition with Pretrained Acoustic and Language Model
Keqi Deng, Songjun Cao, Yike Zhang +1
Recently, self-supervised pretraining has achieved impressive results in end-to-end (E2E) automatic speech recognition (ASR). However, the dominant sequence-to-sequence (S2S) E2E m…
eess.AS2021
Improving Streaming Transformer Based ASR Under a Framework of Self-supervised Learning
Songjun Cao, Yueteng Kang, Yanzhe Fu +4
Recently self-supervised learning has emerged as an effective approach to improve the performance of automatic speech recognition (ASR). Under such a framework, the neural network…
eess.AS2021
Improving Speech Recognition Accuracy of Local POI Using Geographical Models
Songjun Cao, Yike Zhang, Xiaobing Feng +1
Nowadays voice search for points of interest (POI) is becoming increasingly popular. However, speech recognition for local POI has remained to be a challenge due to multi-dialect a…