13 citations · 33 across the 4 of their papers we have counts for
4 papers
Extremely Low Footprint End-to-End ASR System for Smart Device
Zhifu Gao, Yiwu Yao, Shiliang Zhang +3
Recently, end-to-end (E2E) speech recognition has become popular, since it can integrate the acoustic, pronunciation and language models into a single neural network, which outperf…
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…
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-…