“ASR Status Report 2016-12-26”版本间的差异
来自cslt Wiki
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+ | !Date!!People !! Last Week !! This Week | ||
+ | |- | ||
+ | | rowspan="7"|2016.12.19 | ||
+ | |||
+ | |||
+ | |||
+ | |Jingyi Lin | ||
+ | || | ||
+ | * -- | ||
+ | || | ||
+ | * Concentrate on checking the cslt.book. | ||
+ | * Prepare for the annual convention. | ||
+ | |- | ||
+ | |||
+ | |||
+ | |- | ||
+ | |Yanqing Wang | ||
+ | || | ||
+ | * build a data sender ( read & generate txt files of distracted feature ) | ||
+ | * build a data analyzer ( detect the modification of files and make response ( show tokens ) ) | ||
+ | * screenshot: | ||
+ | **[[媒体文件:GUI_distracted.png|distraction]] | ||
+ | **[[媒体文件:GUI_focus.png|focus]] | ||
+ | || | ||
+ | * (maybe) replace 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 | ||
+ | |- | ||
+ | |||
+ | |||
+ | |||
+ | |||
+ | |- | ||
+ | |Hang Luo | ||
+ | || | ||
+ | * Compare decode result between mono and bi LM, and the decode result ues bi LM before and after joint | ||
+ | * Choose wrong decode sentence and find its difference between baseline and shareGMM baseline | ||
+ | * Finished ML book | ||
+ | || | ||
+ | * Continue joint training analysis work, but I'm very confused about how to improve | ||
+ | |- | ||
+ | |||
+ | |||
+ | |- | ||
+ | |Ying Shi | ||
+ | || | ||
+ | * some work about kazak lm | ||
+ | * crawl data from kazak internet | ||
+ | || | ||
+ | * run new AM by current speech data | ||
+ | * get more corpus from internet | ||
+ | * use current corpus make LM and decode | ||
+ | |- | ||
+ | |||
+ | |||
+ | |||
+ | |- | ||
+ | |Yixiang Chen | ||
+ | || | ||
+ | * Leanring tensorflow | ||
+ | * coding pair wise net use tensorflow | ||
+ | * alter CNN | ||
+ | || | ||
+ | * coding CNN connect pair wise | ||
+ | * Dealing with the issue of different lengths of voice | ||
+ | |- | ||
+ | |||
+ | |||
+ | |- | ||
+ | |Lantian Li | ||
+ | || | ||
+ | * LRE challenge on AP16-OL7. | ||
+ | * Jeju for APSIPA16. | ||
+ | || | ||
+ | * LRE on AP16-OL7. | ||
+ | * Deep speaker embedding. | ||
+ | |- | ||
+ | |||
+ | |||
+ | |- | ||
+ | |Zhiyuan Tang | ||
+ | || | ||
+ | * Jeju for APSIPA16. | ||
+ | || | ||
+ | * A speech about recent ASR improvements. | ||
+ | * A supplementary TRP for "Multi-task Recurrent Model for True Multilingual Speech Recognition". | ||
+ | |- | ||
+ | |||
+ | |} |
2016年12月26日 (一) 05:22的版本
Date | People | Last Week | This Week |
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2016.12.26
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Jingyi Lin |
|
|
Yanqing Wang |
|
| |
Hang Luo |
|
| |
Ying Shi |
|
| |
Yixiang Chen |
|
| |
Lantian Li |
|
| |
Zhiyuan Tang |
|
|
Date | People | Last Week | This Week |
---|---|---|---|
2016.12.19
|
Jingyi Lin |
|
|
Yanqing Wang |
|
| |
Hang Luo |
|
| |
Ying Shi |
|
| |
Yixiang Chen |
|
| |
Lantian Li |
|
| |
Zhiyuan Tang |
|
|