Scaling Up Online Speech Recognition Using ConvNets
Table 1: A comparison of our system with the baseline systems.
['[EMPTY]', '[BOLD] Baseline 1', '[BOLD] Baseline 2', '[BOLD] Our System']
We use 750ms chunk size for all the experiments with our system. User-perceived latency is measured at 40 concurrent streams. We can see that our system is able to achieve better WER at a much higher throughput even when using 16-bit floating-point precision as compared to the 8-bit fixed point precision used by the baselines.