“2014-04-25”版本间的差异

2014年4月25日 (五) 02:12的最后版本

Resoruce Building

• Maxi onboard
• Release management should be started: Zhiyong (+)
• Blaster 0.1 & vivian 0.0 system release

Leftover questions

• Asymmetric window: Great improvement on training set(WER 34% to 24%), however the improvement is lost on test. Overfitting?
• Multi GPU training: Error encountered
• Multilanguage training
• Investigating LOUDS FST.
• CLG embedded decoder plus online compiler.
• DNN-GMM co-training

AM development

Sparse DNN

• GA-based block sparsity (+)

• Found a paper in 2000 with similar ideas.
• Try to get a student working on high performance computing to do the optimization

Noise training

• More experiments with no-noise (+)
• More experiments with additional noise types (+)

AMR compression re-training

• Stream model deliver to wechat server (Mengyuan + Liuchao)

GFbank

• GFBank Sinovoice test on 1700 MPE (10.34-10.14)
• GFBank sinovoice 1700 MPE stream

Multilingual ASR

• all phone strategy baseline done
• Some strange behavior observed when fixing early-leyers click here

Denoising & Farfield ASR

• Baseline: close-talk model decode far-field speech: 92.65
• MPE1: 92.78

  MPE2:  91.15
  MPE3:  91.21
  MPE4:  91.51

• Will test the result on the dev set

VAD

• VAD bug on smoothing approach was found.

Scoring

• A speaker identification system based on ivector was delivered
• Male/female identification based on UBM was delievered
• Phone-sequence based graph decoding was delivered

Word to Vector

• Dimension of low space varies from 10-100 done. Expand to 200 dimensions. Some strange behavior was found on w2v. Try on daily people data.
• Test multi-classification from 2-9. w2v done. Work on lda.
• Test on various w2v window-size n=3-15. Strange behavior at n=9. click here

LM development

NN LM

• Character-based NNLM (6700 chars, 7gram), 500M data training done.

• Overlfow found. Code change done. Run into 6 iterations.

• Investigate MS RNN LM training

QA

FST-based matching

• Word-based FST 1-2 seconds with 1600 patterns. Huilan's implementation <1 second.
• THRAX toolkit for grammar to FST

• Investigate determinization of G embedding

• Refer to Kaldi new code