ContextNet: Improving Convolutional Neural Networks for Automatic Speech Recognition with Global Context
Table 3: Effect of the context window size on WER. All models have α=1.25.
['[BOLD] Context', '[BOLD]  dev clean ', '[BOLD]  dev other ', '[BOLD]  test clean ', '[BOLD]  test other ']
In addition, the benefit becomes greater as the length of the context window increases. This is consistent with the observation in a similar study of SE on image classification models [hu2018gather].