Difference between revisions of "FreeNeb Status Report 2017-12-25"

From cslt Wiki
Jump to: navigation, search
(以“This Week: {| class="wikitable" !People !! Last Week !! This Week !! Meet Minutes !! Task Tracing(<font color="red">DeadLine</font>) |- |Mengyuan Zhao || * Engineeri...”为内容创建页面)
 
Line 18: Line 18:
 
# Draft documents for many engines: fnasr, fntts, deepfe....
 
# Draft documents for many engines: fnasr, fntts, deepfe....
 
||
 
||
 
+
# Online-TTS DEMO (<font color="red">Jan.20,2018</font>)
 +
# Online-ASR DEMO (<font color="red">Jan.20,2018</font>)
 
|-
 
|-
 
|Zhiyong Zhang ||
 
|Zhiyong Zhang ||

Revision as of 01:00, 25 December 2017

This Week:

People Last Week This Week Meet Minutes Task Tracing(DeadLine)
Mengyuan Zhao
  • Engineering
  1. Optimize TTS-pyserver to speed up.
  2. Working on online-ASR DEMO.
  • 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....
  1. Online-TTS DEMO (Jan.20,2018)
  2. Online-ASR DEMO (Jan.20,2018)
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.
  • Myhexin
  1. 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.