ON MODELING ASR WORD CONFIDENCE
Table 2: WER (%) of nine recognizers on the evaluation data. The Baseline (B) uses the default 1-best result obtained from the MAP decision rule, while the Proposed (P) uses the word sequence with the maximum mean word confidence.
['[EMPTY]', '1', '2', '3', '4', '5', '6', '7', '8', '9']
The WER decrease is marginal in some cases, but there is a decrease in all 9 recognizers, implying that the effect is statistically significant. Combination of n recognizers is done by obtaining n results (via best mean confidence search on the HWCN of every recognizer) and choosing the result with the highest mean word confidence.