“FreeNeb Status Report 2017-11-20”版本间的差异

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|Zhiyong Zhang ||
 
|Zhiyong Zhang ||
* Train multi-speaker TTS based on Huilian and roobo data
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* Fix code bug, and can reproduce the TTS experiment as Doc. Wang scripts based on huilian female1000
:* Base model done, but the synthesised wav is not good. It seems the acoustic model does not converge.
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:* Large dataset test delayed due to the problems of grid
  
  
  
 
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* Continue to find the problem of poor acoustic predicting of Multi-speaker TTS;
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* Re-produce the Multi-speaker TTS;
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* To test two hybrid of the speakers.
 
* To train duration-model using 16k data.
 
* To train duration-model using 16k data.
  
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|Zhenlong Han||
 
|Zhenlong Han||
* Finish training Japanese acoustic model with transfer learning. Now the MPE is on training.
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* Finish training Japanese acoustic model MPE, but It's get worse along epoch increase. Mengyuan told me that I should tuning all parameters in the Nnet. I will try again with present degs.
 
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* Finish Uyghur embedded and cloud model xent training. But It is small worse than thuyg20 challenges, both Mengyuan and I dose not know more about the thuyg20 challenges model.
 
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* English embedded model training.
 
* English embedded model training.

2017年11月20日 (一) 01:59的最后版本

This Week:

People Last Week This Week Next Week Task Tracing(DeadLine)
Mengyuan Zhao
  • Engineering
  1. Draft API document of embedded-ASR engine.
  2. Draft API document of Deep Feature Extractor(deepfe).
  3. Draft a server version ASR DEMO, but still have bugs.
  • Engineering
  1. Try to finish server version of TTS DEMO.
Zhiyong Zhang
  • Fix code bug, and can reproduce the TTS experiment as Doc. Wang scripts based on huilian female1000
  • Large dataset test delayed due to the problems of grid


  • Re-produce the Multi-speaker TTS;
  • To test two hybrid of the speakers.
  • To train duration-model using 16k data.
Yang Wei
  • Write test specification for FreeNeb TTS engine.
  • Test FreeNeb TTS engine.
Dong Wang
  • ICASSP
  • OC2017


Zhenlong Han
  • Finish training Japanese acoustic model MPE, but It's get worse along epoch increase. Mengyuan told me that I should tuning all parameters in the Nnet. I will try again with present degs.
  • Finish Uyghur embedded and cloud model xent training. But It is small worse than thuyg20 challenges, both Mengyuan and I dose not know more about the thuyg20 challenges model.
  • English embedded model training.
  • Uyghur embedded model training.
Shuai Zhang
  • Add the intention of statistics into the graph and test it.
  • Complete the first version VVParrot project
  • According to the feedback, modify the project
  • Complete the VVParrot project
  • Add the documents about the two project


Yanchi Jin
  • Complete the megrez_tool (Fizzim) output format.
  • Start the compilation of the unit testing and overall test framework.
  • Complete the compilation of the framework.