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| 第95行： |
第95行： |
| | |Weida Liang | | |Weida Liang |
| | || | | || |
| | + | * Never-before-seen test [http://166.111.134.19:7777/liangwd/paper.html] |
| | * 3~6 spk cycle loss models on wav2vec+seq2seq model | | * 3~6 spk cycle loss models on wav2vec+seq2seq model |
| | * Rewrite paper and focus on cycle loss | | * Rewrite paper and focus on cycle loss |
| People |
This Week |
Next Week |
Task Tracking (DeadLine)
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| Dong Wang
|
- Experiment on IB control with conditional model [1], rough conclusions were obtained.
- Refine the AV speaker recognition theoretical part.
- Review for ICME.
|
- Complete ICME review
- VQMIVC reproduction, update with random mask
- Some missing papers treatment: (1) true nonlinear LDA (2) CycleFlow (3) Thermal-visual database
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|
| Yunqi Cai
|
- NSFC Application
- Materials inverse design investigation
|
|
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| Lantian Li
|
- Push CNCSRC (Data release and SR baseline)
- Submit Tencent AI Lab project
- Submit M2ASR concluding report
- Write ASVSpoof response
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- Submit ASVSpoof response
- Finish Draft of C-P Map paper
|
|
| Ying Shi
|
- Speech engrave on overlap speech data
- M2ASR final report
|
- Speech engrave on overlap speech data
|
|
| Haoran Sun
|
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- cycle loss after adverserial training
- VQMIVC
|
|
| Chen Chen
|
- Review papers about lip-reading & audio-visual speech recognization
- Prepare data & environment for experiments of AV-Hubert
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- <-- keep doing these tasks
|
|
| Pengqi Li
|
- collated the visualization methods that have been reproduced
- some scripts for baseline(cncsrc)
|
- study feature aggregation
|
|
| Weida Liang
|
- Never-before-seen test [2]
- 3~6 spk cycle loss models on wav2vec+seq2seq model
- Rewrite paper and focus on cycle loss
|
- Finish paper framework
- Push test on WER scoring
|
|
| Zixi Yan
|
- Multi-language W2V model features were used for ASR experiments and compared with traditional MFCC features
|
- Asr experiments on different layers of multilingual W2V model
|
|
| Sirui Li
|
- Make an experiment plan
- Read the HuBERT paper and code
|
- Finish the hubert-U framework
|
|
| Haoyu Jiang
|
- Find the baseline for CN-Celeb speaker identification
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- Train this baseline and find face recognition baseline
|
|
| Ruihai Hou
|
|
|
|
| Renmiao Chen
|
- Check CKA
- Do experiment for gender
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- Do experiment for cross-modal PLDA
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