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| 第10行： |
第10行： |
| | |Jingyi Lin | | |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.
| + | |
| | |- | | |- |
| | | | |
| 第21行： |
第19行： |
| | |Yanqing Wang | | |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:
| + | |
| − | ** [[媒体文件:dataSender.png|data sender]]
| + | |
| − | **[[媒体文件:dataAnalyser.png|data analyzer]]
| + | |
| | || | | || |
| − | * write a document on the program | + | * |
| | |- | | |- |
| | | | |
| 第39行： |
第30行： |
| | |Hang Luo | | |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
| + | |
| | |- | | |- |
| | | | |
| 第50行： |
第39行： |
| | |Ying Shi | | |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 | + | * |
| | |- | | |- |
| | | | |
| 第63行： |
第49行： |
| | |Yixiang Chen | | |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.
| + | |
| | |- | | |- |
| | | | |
| 第75行： |
第58行： |
| | |Lantian Li | | |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.
| + | |
| | |- | | |- |
| | | | |
| 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
|
|
| 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.
|
