“ASR Status Report 2018-1-8”版本间的差异

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|Miao Zhang
 
|Miao Zhang
 
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* Update the APSIPA paper: experiments results;  
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* Update the APSIPA paper: experiments results; description of database; analysis of results.
                          description of database;
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                          analysis of results
+
 
* Collect the photo and made the photo book.
 
* Collect the photo and made the photo book.
 
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2018年1月8日 (一) 05:51的最后版本

Date People Last Week This Week Task Tracking
2018.1.8


Miao Zhang
  • Update the APSIPA paper: experiments results; description of database; analysis of results.
  • Collect the photo and made the photo book.
  • Finish collecting photo and the photo book.
  • Buy the gifts.
  • Plan the time capsule project for the annual meeting.
  • Plan the "special offer" project.
  • Help to make tests for Parrot project.
Ying Shi
  • copy-right for voice-checker and voice-printer
  • finish m2asr annual summary
  • i-vector system for m2asr(train down test is in progress)
  • contract of Deep Curious 深度好奇(haven't got response)
  • DNN-i-vector Lid
  • build my personal home page
  • CTC for social science academy(this task is very samilar with zero resource decoding which list in m2asr project)
Lantian Li
  • Commercial deep speaker model training still in process. [1]
  • Phone-aware scoring on deep speaker feature. [2]
  • Phonetic speaker embedding still in process. [3]
  • Overlap training for speaker features. [4]
  • Voice QR code design [Assign to Shouyi Dai].
  • Commercial deep speaker model training and evaluation.
  • Phonetic speaker embedding.
  • Overlap training for speaker features.
Zhiyuan Tang
  • Technical description of Parrot for a patent
  • Configuration adaptation for Parrot




Date People Last Week This Week Task Tracking
2018.1.2


Miao Zhang
Ying Shi
Lantian Li
  • Commercial deep speaker model training. [5]
  • Phone-aware scoring on deep speaker feature. [6]
  • Phonetic speaker embedding. [7]
  • Overlap training for speaker features. [8]
  • Commercial deep speaker model training.
  • Phone-aware scoring on deep speaker feature.
  • Phonetic speaker embedding.
  • Overlap training for speaker features.
Zhiyuan Tang
  • A brief survey on oral language evaluation, both on application and algorithm
  • A test version of Parrot
  • Patent of Parrot