Table 3 UERs for different lexicons: canonical, 2–5 variants with and without priors. These rates are obtained by using non-native triphone acoustic models and language models with filled pause loops.
From: Optimizing Automatic Speech Recognition for Low-Proficient Non-Native Speakers
Lex | Priors | 0 | 5 | 10 | 15 |
|---|---|---|---|---|---|
canonical | — | 10.0 | 9.7 | 7.9 | 6.9 |
2 var | No | 10.0 | 9.9 | 8.2 | 6.7 |
2 var | Yes | 10.0 | 9.7 | 8.3 | 7.0 |
3 var | No | 11.2 | 10.9 | 8.5 | 7.1 |
3 var | Yes | 10.6 | 10.1 | 8.7 | 7.2 |
4 var | No | 11.5 | 11.3 | 8.9 | 7.5 |
4 var | Yes | 10.4 | 10.9 | 9.7 | 7.2 |
5 var | No | 11.5 | 11.3 | 8.9 | 7.5 |
5 var | Yes | 10.4 | 10.0 | 8.7 | 7.2 |