“2013-10-18”版本间的差异
来自cslt Wiki
（→Noisy training） |
（→QA LM） |
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==QA LM== | ==QA LM== | ||
| − | + | Just started. Jobs to do: | |
| − | + | ||
| + | # use the QA-oriented word segment system | ||
| + | # train the Q LM with the QA data | ||
2013年10月18日 (五) 09:26的版本
目录
Data sharing
- LM count files still undelivered!
DNN progress
Sparse DNN
- Optimal Brain Damage(OBD). The initial test shows worse results in weight-cutting experiments compared with simple weight-based cutting.
Tencent exps
N/A
Noisy training
1. With 863 clean test, by adding car & white noise at various levels, obtained significant performance improvement.
- car noise test
2. The test with both car & white noise benefits from the noisy training.
Continuous LM
1. Lattice rescoring toolkit is ready. 2. Rescoring is slow with some dense lattices.
QA LM
Just started. Jobs to do:
- use the QA-oriented word segment system
- train the Q LM with the QA data
