“ASR Status Report 2016-12-26”版本间的差异
来自cslt Wiki
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| + | {| class="wikitable" | ||
| + | !Date!!People !! Last Week !! This Week | ||
| + | |- | ||
| + | | rowspan="7"|2016.12.19 | ||
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| + | |||
| + | |||
| + | |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 |
|---|---|---|---|
| 2016.12.26
|
Jingyi Lin |
|
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| 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 |
|
|