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| 第30行： |
第30行： |
| | |Hang Luo | | |Hang Luo |
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| − | * | + | * Continue joint training analysis work, but I'm very confused about how to improve |
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| − | * | + | * Compare decode result between mono and bi LM |
| | + | * Choose wrong decode sentence and find its difference between baseline and shareGMM baseline |
| | + | * Finished ML book |
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| Date |
People |
Last Week |
This Week
|
| 2016.12.19
|
Jingyi Lin
|
|
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| Yanqing Wang
|
|
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| Hang Luo
|
- Continue joint training analysis work, but I'm very confused about how to improve
|
- Compare decode result between mono and bi LM
- Choose wrong decode sentence and find its difference between baseline and shareGMM baseline
- Finished ML book
|
| Ying Shi
|
- some work about kazak lm
- crawl data from kazak internet
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- run new AM by current speech data
- get more corpus from internet
- use current corpus make LM and decode
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| Yixiang Chen
|
- Leanring tensorflow
- coding pair wise net use tensorflow
- alter CNN
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- coding CNN connect pair wise
- Dealing with the issue of different lengths of voice
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| Lantian Li
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- LRE challenge on AP16-OL7.
- Jeju for APSIPA16.
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- LRE on AP16-OL7.
- Deep speaker embedding.
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| Zhiyuan Tang
|
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- A speech about recent ASR improvements.
- A supplementary TRP for "Multi-task Recurrent Model for True Multilingual Speech Recognition".
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| Date |
People |
Last Week |
This Week
|
| 2016.12.12
|
Yanqing Wang
|
- read a paper about driving distraction detection task
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- show normal/distraction patterns of a driver with one class and two class SVM
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| Hang Luo
|
- Compared mono-language model and bi-language model decode result.
- Read paper of WFST.
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- Use different corpus or generate mix-lingual corpus to run experiments
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| Ying Shi
|
- work from Chao Xing down
- kazak lm
- got some corpus from a student who study in Minzu University of China.But the corpus is short (about 10000) so the ppl is also poor.
- spider
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| Yixiang Chen
|
- Complete the replay task experiment and report
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- learning tensorflow coding DNN and CNN net
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| Lantian Li
|
- interim report done;
- PPT for APSIPA16;
- LRE challenge on AP16-OL7.
- Deep speaker embedding restart!
- Submit TRP-20160011 on Replay detection.
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| Zhiyuan Tang
|
- interim report done;
- PPT for APSIPA16;
- language mask[1]
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