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| 第42行： |
第42行： |
| | * TRP for kazak speech recognition | | * TRP for kazak speech recognition |
| | * make new test set which have lower ppl on LM | | * make new test set which have lower ppl on LM |
| − | * The characteristics of the Kazak Language summarized by nurpolat | + | * The characteristics of the Kazak Language summarized by nurpolat [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/8/88/%E5%93%88%E8%90%A8%E5%85%8B%E8%AF%AD%E8%A8%80%E7%89%B9%E7%82%B9.pdf here] |
| | || | | || |
| | * new kazak AM and LM | | * new kazak AM and LM |
| 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:
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- write a document on the program
|
| Hang Luo
|
- Run joint training and write systemic script and documents
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- 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
|
|
| 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".
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- 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.
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- 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.
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- Finish the above 3 writings.
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