Difference between revisions of "FreeNeb Status Report 2017-12-18"

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* Roobo
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# Prepare a workshop(half a day) in Jan 2018 after Jan.20,2018.
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* Engineering
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# Improve speed of TTS engine
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# Draft documents for many engines: fnasr, fntts, deepfe....
 
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|Zhiyong Zhang ||
 
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* Aiweier
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# Contact with Aiweier.
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# Myhexin
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# Draft a document and contact with Myhexin,
 
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* Continue test TTS pyserver
 
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* Prepare all the ASR models:
 
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|Shuai Zhang||
 
|Shuai Zhang||

Revision as of 02:57, 18 December 2017

This Week:

People Last Week This Week Next Week Task Tracing(DeadLine)
Mengyuan Zhao
  • Engineering
  1. Modify TTS engine interface to implement multi-speaker, multi-emotion.
  2. Finish first version of multi-speaker, multi-emotion TTS APP.
  • Engineering
  1. Try to finish first version of online-ASR APP.
  2. Clean up code and draft documents.
  • Roobo
  1. Prepare a workshop(half a day) in Jan 2018 after Jan.20,2018.
  • Engineering
  1. Improve speed of TTS engine
  2. Draft documents for many engines: fnasr, fntts, deepfe....
Zhiyong Zhang
  • Finished 100h 16k TTS training
  • Poor synthesised wavs, the reason may be
  • Noise corrupted wav may not fit TTS task, the corrupted spectrum would be learned too;
  • I assumed one utterence for one specified person, not so accurate, may another reason?
  • To train duration-model using 16k data.
  • Aiweier
  1. Contact with Aiweier.
  2. Myhexin
  3. Draft a document and contact with Myhexin,
Yang Wei
  • Write test specification for FreeNeb TTS pyserver.
  • Test pyserver.
  • Add new cases to test FreeNeb TTS pyserver.
  • Continue test TTS pyserver
Dong Wang
  • Some discussion with Fenyinta
  • Some discussion with Japan Tongfang
  • More people will join!
  • APSIPA 2017


Zhenlong Han
  • write document.
  • train some model with 8k and 16k, and add ivector to it.
  • English embedded model training.
  • Prepare all the ASR models:
Shuai Zhang
  • Add the function of asking.
  • Add the edit-distance algorithm.
  • fixed the bugs in answering the question.
  • Test the Megrez project overall.
  • Complete the VVParrot project.
  • Add the documents about the two project.
  • the test by ourselves about the Megrez will be done 20th Dec.
  • the VVParrot will be finished the standard function 28th Dec which will include login, register, record the score and get the sentence randomly.
Yanchi Jin
  • Already update the version of Megrez project and the database.
  • Complete the Megrez_tool and the chart of structure.
  • Continue update the database.