Sinovoice-2014-01-20

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2014年1月20日 (一) 07:43Cslt讨论 | 贡献的版本

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DNN training

Environment setting

  • Cluster accounts rearrangement
  • Withdraw root/sudo previelege
  • Changed NFS server to 40 processes, hope to increase the disk reading speed
  • Create a RAID-0 with 3 or 4 3T disks

Corpora

  • Change the data labeling strategy: do not label gender and the length of noise in the rest of the corpora.
  • Automatic labeling
  • Xiaoming will work with Zhiyong to discover how to generate transcriptions with confidence score embedded.
  • The first step is to investigate the raw accuracy on the domain-dependent test, and then decide the quality of automatic labeling

470 hour 8k training

  • MPE training 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 20.93/18.32
8k states 22.16/22.22 20.55/18.03 20.36/17.94 20.32/17.78 20.29/17.80

6000 hour 16k training

  • Feature extraction done: solved three problems in the data: (1) short wave (2) unmatched file length (3) unmatched sample rate
  • Training goes to tri4b, quick increase of states/pdfs
  • DNN training could be started from Tuesday

DNN Decoder

  • Sinovoice decoder: some errors in FST building. Many triphones are lost after graph building. Problems in cdgen?
  • Kaldi decoder:
  • A minor difference between CLG/HCLG results was find. Debugging into the problem.
  • CLG RT is comparable to the HCLG RT, 0.3-0.4 in CSLT grid-2.
  • Additional optimization on pdf-pre-computing will be investigated.
  • Code deliver today.