2014-04-18

Resoruce Building

• quota on /nfs/disk this Saturday
• 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

• 1700h MPE adaptation done
• 1700h stream mode adaptation runs into MPE4 done
• Stream model is better than non-stream wave

GFbank

• GFBank Sinovoice test on 100h MPE
• Tencent 100h MPE training done

Multilingual ASR

• all phone strategy baseline done
• Testing on Mandarin & English individually

Denoising & Farfield ASR

• re-Recording done
• Prepare to construct the baseline

VAD

• Code ready, migrate to the VAD code framework

Scoring

• g-score based on MLP is done
• t-score based on linear regression improves the performance

Word to Vector

• Dimension of low space varies from 10-100
• 8-thread word vector generation is 3 times faster than the LDA.

LM development

NN LM

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

• Non-boundary char LM is better than boundary char LM

• Investigate MS RNN LM training

QA

FST-based matching

• Word-based FST 1-2 seconds with 1600 patterns. Huilan's implementation <1 second. ????
• Char-FST Implementation is done. Not so effective.

Speech QA

• Investigate determinization of G embedding