Sinovoice-2014-01-13

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 ready. Files with incorrect sampling rates were removed
• Lexicon and LM were ready
• Making MFCC features
• Initial model (6 iterations etc) 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
• Xiaoming will do some investigation on the Sinovoice FST compiler, while Liu Chao will focus on the Kaldi-based decoder