“2022-01-17”版本间的差异
来自cslt Wiki
| （7位用户的8个中间修订版本未显示） | |||
| 第5行： | 第5行： | ||
|Dong Wang | |Dong Wang | ||
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| − | * | + | * OLR workshop preparation |
| + | * CNSRC plan: metric design | ||
| + | * Capsulate review: emotion recognition | ||
| + | * Visual-audio SID experiment plan design | ||
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| − | * | + | * Keep on multi-modal review & information fusion |
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| 第54行： | 第57行： | ||
|Haoran Sun | |Haoran Sun | ||
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| − | * | + | * experiments for rebuttal |
| + | * update CycleFlow code | ||
| + | * AutoVC with cycle loss | ||
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| − | * | + | * More training and evaluation on AutoVC |
| + | * More attempts on cycle loss | ||
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* | * | ||
| 第65行： | 第71行： | ||
|Chen Chen | |Chen Chen | ||
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| − | * | + | * Figure out the influence of symbol & feature |
| + | * Test w2v2.0 feats with LSTM in a supervised way | ||
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| − | * | + | * Test the influence of feature & preprocessing & training epochs |
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* | * | ||
| 第89行： | 第96行： | ||
|Weida Liang | |Weida Liang | ||
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| − | * | + | * Paper sharing on any-to-any VC |
| + | * Finish training wav2vec model | ||
| + | * Ongoing wav2vec+AE model | ||
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| − | * | + | * Finish all model training |
| + | * Test and comparison analysis | ||
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* | * | ||
| 第99行： | 第109行： | ||
|Zixi Yan | |Zixi Yan | ||
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| − | * | + | * Write code for extracting wav2vec features in Kaldi |
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* | * | ||
| 第121行： | 第131行： | ||
|Haoyu Jiang | |Haoyu Jiang | ||
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| − | * | + | *Complete the data partition |
| + | *Prepare group report | ||
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* | * | ||
| 第132行： | 第143行： | ||
|Ruihai Hou | |Ruihai Hou | ||
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| − | * | + | * Read the UIS-RNN paper |
| + | * Run some tests on speaker diarization | ||
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| − | * | + | * Try to train the UIS-RNN model |
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* | * | ||
| 第142行： | 第154行： | ||
|Renmiao Chen | |Renmiao Chen | ||
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| − | * | + | * Do three experiments for PMI. |
| + | * Do something for programming TA. | ||
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| − | * | + | * Finish experiments for PMI. |
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2022年1月17日 (一) 10:59的最后版本
| People | This Week | Next Week | Task Tracking (DeadLine) |
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| Dong Wang |
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| Yunqi Cai |
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| Lantian Li |
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| Ying Shi |
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| Haoran Sun |
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| Chen Chen |
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| Pengqi Li |
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| Weida Liang |
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| Zixi Yan |
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| Sirui Li |
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| Haoyu Jiang |
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| Ruihai Hou |
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| Renmiao Chen |
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