371 citations · 675 across the 78 of their papers we have counts for
5 papers · 1 filter
Universal ASR: Unifying Streaming and Non-Streaming ASR Using a Single Encoder-Decoder Model
Zhifu Gao, Shiliang Zhang, Ming Lei +1
Recently, online end-to-end ASR has gained increasing attention. However, the performance of online systems still lags far behind that of offline systems, with a large gap in quali…
Distillation Guided Residual Learning for Binary Convolutional Neural Networks
Jianming Ye, Shiliang Zhang, Jingdong Wang
It is challenging to bridge the performance gap between Binary CNN (BCNN) and Floating point CNN (FCNN). We observe that, this performance gap leads to substantial residuals betwee…
SAN-M: Memory Equipped Self-Attention for End-to-End Speech Recognition
Zhifu Gao, Shiliang Zhang, Ming Lei +1
End-to-end speech recognition has become popular in recent years, since it can integrate the acoustic, pronunciation and language models into a single neural network. Among end-to-…
Streaming Chunk-Aware Multihead Attention for Online End-to-End Speech Recognition
Shiliang Zhang, Zhifu Gao, Haoneng Luo +4
Recently, streaming end-to-end automatic speech recognition (E2E-ASR) has gained more and more attention. Many efforts have been paid to turn the non-streaming attention-based E2E-…
Simplified Self-Attention for Transformer-based End-to-End Speech Recognition
Haoneng Luo, Shiliang Zhang, Ming Lei +1
Transformer models have been introduced into end-to-end speech recognition with state-of-the-art performance on various tasks owing to their superiority in modeling long-term depen…