“FreeNeb Status Report 2017-04-05”版本间的差异

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第15行: 第15行:
 
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|Zhiyong Zhang ||
 
|Zhiyong Zhang ||
* Contract with DataTang for 1000h data purchasing and other cooperation and exchange;
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* Finished scripts for duration and acoustic model training of Merline.
* Exchange with THS team for the Third project;
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* Start The TTS normalization of Merlin part.
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* To finish the Merline experiments.
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* To finish the residual jobs for wav generation of Merlin
 
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* To re-produce the TTS using KALDI.
 
* To re-produce the TTS using KALDI.
第26行: 第24行:
 
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|Yang Wei ||
 
|Yang Wei ||
* Crawl 1G data from Internet
 
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* Crawl 6G data from Internet
 
* Crawl 6G data from Internet
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* Crawl more data from Internet
 
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* Crawl more data from Internet
 
* Crawl more data from Internet
第47行: 第45行:
 
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|Mingrui Ruan||
 
|Mingrui Ruan||
TTS schedule
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* TTS schedule
 
* review other schedule
 
* review other schedule
 
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* Haitian agreement
 
* Haitian agreement
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* cooperation with Shujutang
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* review other schedule
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* about FreeNeb
 
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2017年4月6日 (四) 02:17的最后版本

This Week:

People Last Week This Week Next Week Tast Tracing(DeadLine)
Mengyuan Zhao
  • Negotiation with tonghuashun.
  • Train 500h AM for roobo.
  • KT for tongfang.
  • nnet-forward for embedded asr.
  • nnet-forward for embedded asr.
Zhiyong Zhang
  • Finished scripts for duration and acoustic model training of Merline.
  • To finish the residual jobs for wav generation of Merlin
  • To re-produce the TTS using KALDI.
Yang Wei
  • Crawl 6G data from Internet
  • Crawl more data from Internet
  • Crawl more data from Internet
  • TongFang Janpanese 300G text lm traing(Deadline-20170407)
Dong Wang
  • draft contract with Xinsong
  • discuss potential opportunity speaker recognition
  • re-arrange company-lab relation
  • re-arrange company-lab relation
Mingrui Ruan
  • TTS schedule
  • review other schedule
  • Haitian agreement
  • cooperation with Shujutang
  • review other schedule
  • about FreeNeb
Zhenlong Han
  • In the roobo project to training a model used 760h.
  • Finish crawler documentation
  • Improve the acoustic model documentation.
  • Write how to run acoustic model documentation.
  • Train roobo model random linear classification and test WER.