Deep Speech: Scaling up end-to-end speech recognition
Table 4: Results (%WER) for 5 systems evaluated on the original audio. Scores are reported only for utterances with predictions given by all systems. The number in parentheses next to each dataset, e.g. Clean (94), is the number of utterances scored.
['System', 'Clean (94)', 'Noisy (82)', 'Combined (176)']
Our test is designed to benchmark performance in noisy environments. This situation creates challenges for evaluating the web speech APIs: these systems will give no result at all when the SNR is too low or in some cases when the utterance is too long. Therefore we restrict our comparison to the subset of utterances for which all systems returned a non-empty result.