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| 第21行： |
第21行： |
| | |Yanqing Wang | | |Yanqing Wang |
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| − | * | + | * finish demo of distraction task |
| | + | ** choose subject / SVM type & train model in data sender: |
| | + | ** check the status of driver in data analyzer: |
| | + | * write a document on the mechanism of the program of both the data sender and data analyzer |
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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)
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|
| Yanqing Wang
|
- finish demo of distraction task
- choose subject / SVM type & train model in data sender:
- check the status of driver in data analyzer:
- write a document on the mechanism of the program of both the data sender and data analyzer
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| Hang Luo
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- TRP for joint training
- Make a review of mix-lingual
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- Make a conclude for aurora4 and thchs30 joint training
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| 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
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| Yixiang Chen
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- Prepare the thesis proposal
- Integrate CNN + max-margin.
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- Integrate CNN + max-margin.
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| Lantian Li
|
- Deep speaker embedding
- Write book of robustness SRE.
- Wechat open account -- Hole.
- Replay detection on INTERSPEECH chanllenge -- Get the database.
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- Deep speaker embedding.
- Write book.
- Replay detection on INTERSPEECH chanllenge.
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| Zhiyuan Tang
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- 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.
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- check and submit the above 3 writings.
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| 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
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| 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".
|
- 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.
|
