“Sinovoice-2014-01-13”版本间的差异
来自cslt Wiki
（→Corpora） |
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| 第12行： | 第12行： | ||
==Corpora== | ==Corpora== | ||
| − | * 60 hour data were | + | * 60 hour data were cut this week |
| − | * Just | + | * Just send out to vendors for labeling |
* Waiting for out-source platform construction | * Waiting for out-source platform construction | ||
| − | + | * We assume 60 hour data per week in future | |
==470 hour 8k training== | ==470 hour 8k training== | ||
2014年1月13日 (一) 07:09的版本
目录
Project management
- Xiaoming and Xiao Na were added into the mail list
- Potential Huawei conference-transcribing project was discussed
DNN training
Environment setting
- New disk space (3T) was created and mounted at /nfs/disk1
- Jobs with 100 threads work fine on the cluster
Corpora
- 60 hour data were cut this week
- Just send out to vendors for labeling
- Waiting for out-source platform construction
- We assume 60 hour data per week in future
470 hour 8k training
- CE training done
- MPE training partially done
| Model | CE | MPE1 | MPE2 | MPE3 | MPE4 |
|---|---|---|---|---|---|
| 4k states | 23.27/22.85 | 21.35/18.87 | 21.18/18.76 | 21.07/18.54 | |
| 8k states | 22.16/22.22 | - | 20.36/17.94 | - |
6000 hour 16k training
- Audio files done. File with incorrect sampling rates were removed
- Lexicon and LM were done
- Making MFCC features
- Initial model can be delivered before the spring holiday
DNN Decoder
- Initial trail of DNN decoder based on the Sinovoice code was failed, largely due to FST compiler
- Change the strategy to an integrated approach: use the sinovoice system to control connections, and use Kaldi base for asr engine
