Table 9 WER (%) of the BLSTMs and LW-BLSTMs for all languages
From: Advanced recurrent network-based hybrid acoustic models for low resource speech recognition
Model | WER | Â | |||||
|---|---|---|---|---|---|---|---|
| Â | 101 Cantonese | 104 Pashto | 107 Vietnamese | 202 Swahili | 204 Tamil | 302 Kazakh | 404 Georgian |
BLSTM-fbank | 39.5 | 48.3 | 45.8 | 41 | 63.7 | 50.3 | 46.6 |
LW-BLSTM-fbank | 39.6 | 48.3 | 45.9 | 41.1 | 63.7 | 50.2 | 46.7 |
BLSTM-MBN | 34.7 | 43.8 | 43.6 | 38 | 60.6 | 47.8 | 44 |
LW-BLSTM-MBN | 34.7 | 43.9 | 43.7 | 38 | 60.6 | 47.7 | 44 |