|
|
| 第90行： |
第90行： |
| | |Zhiyuan Tang | | |Zhiyuan Tang |
| | || | | || |
| − | * TRP of "How to Config Kaldi nnet3 (in Chinese)", not finished yet; | + | * TRP of "How to Config Kaldi nnet3 (in Chinese)", describe the usage of 34 components; |
| − | * outline of TRP for "Multi-task Recurrent Model for True Multilingual Speech Recognition"; | + | * additional notes on "Multi-task Recurrent Model for True Multilingual Speech Recognition"; |
| | * Generative models, part of Chapter Deep Learning. | | * Generative models, part of Chapter Deep Learning. |
| | || | | || |
| − | * Finish the above 3 writings. | + | * 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
|
|
| 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)", 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
|
|
| 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.
|
