ASR Status Report 2017-1-3

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Date People Last Week This Week
2016.12.26


Jingyi Lin
  • Modify and supply Dr.Wang's personal page.
  • Prepare for the Annual Meeting.
  • Check CSLT books.(2,5)
  • Check CSLT books.
Yanqing Wang
Hang Luo
  • TRP for joint training
  • Make a review of mix-lingual
  • Make a conclude for aurora4 and thchs30 joint training
Ying Shi
  • TRP for kazak speech recognition
  • make new test set which have lower ppl on LM
  • The characteristics of the Kazak Language summarized by nurpolat here
  • new kazak AM and LM
Yixiang Chen
Lantian Li
Zhiyuan Tang
  • TRP of "How to Config Kaldi nnet3 (in Chinese)", describe the usage of 34 components;
  • additional notes on "Multi-task Recurrent Model for True Multilingual Speech Recognition";
  • Generative models, part of Chapter Deep Learning.
  • check and submit the above 3 writings.





Date People Last Week This Week
2016.12.26


Jingyi Lin
  • Learn and make Dr.Wang's personal web page.
  • Prepare for the CSLT's Annual Meeting.
  • Finish Dr.Wang's personal web page.
  • Take photos for menmbers in CSLT.
Yanqing Wang
  • implement the detection mechanism by socket
  • find best parameters to avoid over-fitting
  • add two-class-SVM to the program
  • make GUI more pretty and easy to use
  • improve the program's robustness
  • screenshot:
  • write a document on the program
Hang Luo
  • Run joint training and write systemic script and documents
  • Finish joint training documents
  • Conclude joint training experiments result
  • Make a review on mixlingual
Ying Shi
  • crawl corpus from internet.(I don't know whether the corpus is right or not.......)
  • make new LM(complete)
  • train new AM(complete)
  • a part of TRP
  • finish the TRP
Yixiang Chen
  • Prepare the input of speech data (trick of block segmentation)
  • Complete the init version on max-margin SRE.
  • Write TRP-20160012 "基于Kaldi i-vector的说话人识别系统使用说明".
  • Prepare the thesis proposal.
  • Integrate CNN + max-margin.
Lantian Li
  • Deep speaker embedding
    • Prepare two datasets and make the i-vector baselines.
  • Write TRP-20160012 "基于Kaldi i-vector的说话人识别系统使用说明".
  • Write book of robustness SRE.
  • Wechat open account.
  • Deep speaker embedding.
  • Write book.
  • Replay detection on INTERSPEECH chanllenge.
Zhiyuan Tang
  • TRP of "How to Config Kaldi nnet3 (in Chinese)", not finished yet;
  • outline of TRP for "Multi-task Recurrent Model for True Multilingual Speech Recognition";
  • Generative models, part of Chapter Deep Learning.
  • Finish the above 3 writings.