People |
This Week |
Next Week |
Task Tracking (DeadLine)
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Dong Wang
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- Review of a few papers from NCMMSC, MDPI etc.
- Review papers regarding AI for Medicine
- Refine "the principle of AI education in primary schools"
- A few public talks
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Lantian Li
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- GPU status [1]
- Completed all teaching for this semester.
- Projects
- AED -> System integration with Huawei, Bullying patent for FYT
- TSE -> Preparing for the first phase delivery.
- VSR -> 1200h+
- Finance -> Reproducing R^2 SAC, Overview time-series modelling
- Papers
- NeuralScoring -> In progress
- IS24 Camera-ready paper
- CNVSRC 2024 baseline paper
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Ying Shi
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- Text enroll mix speech keyword spotting
- Cohort ASR with conditional Chain here
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Zhenghai You
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- Start training on complete data for Huawei TSE project
- Change adaptlayer from cancat to FiLm [2]
- Test inference time and SISDR in online model
- Consider a TSE network that combines mixture and enrollment with attractor to extract speaker information
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Junming Yuan
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- SSL model finetuning analysis v1[3].Need to check.
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Chen Chen
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- Release UY/CH-CHILD dataset
- help with NCMMSC paper about CNVSRC 2024
- CN-CVS2
- 1200+ hours data, phase 1 finished in June 26th
- hand over the CN-CVS2 website things
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- ISCSLP paper (7.7 20:00 ddl)
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Xiaolou Li
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- LRS2 full test[4]
- Paper reading
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Zehua Liu
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- NCMMSC papper
- change parameter result seems good ,(but still training)[5]
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Pengqi Li
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- PhD mid-term assessment
- two NC-papers
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Wan Lin
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Tianhao Wang
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- Neural Scoring exps[6]
- share encoder
- channel attention (similar to EA-ASP, useless)
- early frequency attention (fbank level, training)
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Zhenyu Zhou
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- Huawei projetc
- Summary of recent experimental results[7]
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Junhui Chen
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- Neural Scoring supplementary experiments
- Share Encoder NS: NS > Share Encoder NS > EA-ASP (Importance of decoupling)
- Ways of attention (F-bank Enroll-Aware, seems useful)
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Jiaying Wang
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- debug cohort transformer structure (confused why transformer does not work)
- deeper network: 2 attention head, 8 layer/block, 4 blocks in total(failed)
- use only MF training set (failed)
- use position encoding and transformer block in speechbrain(failed both pit and sisdr loss)
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Yu Zhang
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- Implement R2SAC
- Retrain Huawei Quantization Model
- Paper reading
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Wenqiang Du
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- Preparing for the final exam
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Yang Wei
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- Huilan TTS
- Export ONNX model from original format. Still deal with inferring error.
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Lily
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- Thesis
- Prepare slides for Xinjiang teacher's course
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Turi
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- End of semester course project presentations
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Yue Gu
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- try to fill the gap between CEM recall and utterance recall, then I want achieve more better performance
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Qi Qu
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- AED
- Model tested on different data.
- Tried some other models, i.e. Zipformer from sherpa-onnx.
- KWS
- Data collected and processed to account for poor performance.
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