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| 第53行： |
第53行： |
| | * Finish training Japanese acoustic model with transfer learning. Now the MPE is on training. | | * Finish training Japanese acoustic model with transfer learning. Now the MPE is on training. |
| | | | |
| − | ECO135 ECO_77 ETT SPC160 <br>
| |
| − | baseline_4X1200X9391_xent 21.06 13.23 26.73 16.6 <br>
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| − | embedded_6X512X800_xent 26.85 18.38 33.22 24.02 <br>
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| − | embedded_6X400X800_transfer_learning_xent 23.8 15.71 29.66 19.64 <br>
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| − |
| |
| − | * VAD is finished.
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| | || | | || |
| | * English embedded model training. | | * English embedded model training. |
| People |
Last Week |
This Week |
Next Week |
Task Tracing(DeadLine)
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| Mengyuan Zhao |
- Draft API document of embedded-ASR engine.
- Draft API document of Deep Feature Extractor(deepfe).
- Draft a server version ASR DEMO, but still have bugs.
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- Try to finish server version of TTS DEMO.
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| Zhiyong Zhang |
- Train multi-speaker TTS based on Huilian and roobo data
- Base model done, but the synthesised wav is not good. It seems the acoustic model does not converge.
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- Continue to find the problem of poor acoustic predicting of Multi-speaker TTS;
- To train duration-model using 16k data.
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| Yang Wei |
- Write test specification for FreeNeb TTS engine.
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| Dong Wang |
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| Zhenlong Han |
- Finish training Japanese acoustic model with transfer learning. Now the MPE is on training.
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- English embedded model training.
- Uyghur embedded model training.
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| Shuai Zhang |
- Add the intention of statistics into the graph and test it.
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- According to the feedback， modify the project
- Complete the VVParrot project
- Add the documents about the two project
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| Yanchi Jin |
- Complete the megrez_tool (Fizzim) output format.
- Start the compilation of the unit testing and overall test framework.
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- Complete the compilation of the framework.
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