| People |
This Week |
Next Week |
Task Tracking (DeadLine)
|
| Dong Wang
|
- Spoof paper refined
- Start the hard trials paper
|
|
|
| Yunqi Cai
|
- img fusion network construction
- infra experiments plan for interns
- bayesian optimization paper review
|
|
|
| Lantian Li
|
- Refine AI course v2.
- Check spoof paper.
- Finish my defences.
|
- Finish ETM response.
- Exps of hard trials.
|
|
| Ying Shi
|
- Test fncmd and speech engrave on huawei_cross_channel data here
|
- Retrain speech engrave model(make speech engrave and fncmd are Comparable on far field test set)
- Huawei cross channel data
- Score margin
- Discriminative training
- Retrain fncmd model with huawei data.
|
|
| Haoran Sun
|
- some analysis on c-vector
- training processing of c-vector
|
- remove f0 decoder of c-vector
- a easier model with only content and speaker encoders based on long-short term assumption
|
|
| Chen Chen
|
- perform kmeans and pca on wav2vec result
- check GAN
|
|
|
| Pengqi Li
|
- Verifying the correctness of the a series of cam method
- reproduce the method of Layer-CAM on classification
|
- more experiment and analysis on this method
|
|
| Weida Liang
|
- Finish training for not-ever-seen speaker on baseline AE and cycle model
- Build the framework of wav2vec model
|
- Full test on baseline & cycle model
- More details need to be discussed on wav2vec model
|
|
| Zixi Yan
|
- Fine-tune the wav2vec model on dev-other
- Test the effect of Tibetan adjusted model
|
|
|
| Sirui Li
|
- Compare the effects of TIMIT and Tibetan fine-tune
|
- More comparative experiments
|
|
| Haoyu Jiang
|
|
- Set thresholds to divide data
- Check the sampled images
|
|
| Renmiao Chen
|
- choose thresholds for dividing high-confident data, mid-confident data, low-confident data.
- check the thresholds.
- use speechbrain to do IDR task.
|
- do more task with the data.
- finish the report.
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