“2014-05-16”版本间的差异

2014年5月16日 (五) 01:10的版本

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

• With-clean training done. Much better on clean testing
• Experiments done. Prepare paper.

GFbank

• GFBank sinovoice 1400 MPE stream
• GFBank sinovoice 6000 MPE stream

Multilingual ASR

• MPE-based training is not very sensitive to data imbalance for English & Chinese
• Data duplication can trade-off the performance of two languages
• Test sharing shemes

Denoising & Farfield ASR

• Baseline: close-talk model decode far-field speech: 92.65
• Will investigate DAE model.

VAD

• VAD bug fixed???
• Test frame VAD accuracy

Scoring

• online scoring done??
• checked into gitlab?

Word to Vector

• Paper writing done

LM development

NN LM

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

• Inconsistent pattern in WER were found on Tenent test sets
• probably need to use another test set to do investigation.

• 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