|
|
| 第29行： |
第29行： |
| | |Ying Shi | | |Ying Shi |
| | || | | || |
| − | * | + | * Finish Text enroll keywords spotting code & document and deliver to Wei & Du |
| | + | * Cohort Overlap ASR code v0.0 |
| | + | ** code has finished and training has been done |
| | + | * Cohort Speech separation code v0.0 |
| | + | ** code has finished training is in progress |
| | + | * [https://z1et6d3xtb.feishu.cn/docx/OHjsdgVmhoXUGpxvh5tcaBN4nAh?from=from_copylink here] |
| | || | | || |
| | * | | * |
| People |
This Week |
Next Week |
Task Tracking (DeadLine)
|
| Dong Wang
|
- Check AI primary school handbook (1-20)
|
|
|
| Lantian Li
|
|
|
|
| Ying Shi
|
- Finish Text enroll keywords spotting code & document and deliver to Wei & Du
- Cohort Overlap ASR code v0.0
- code has finished and training has been done
- Cohort Speech separation code v0.0
- code has finished training is in progress
- here
|
|
|
| Zhenghai You
|
- Exploring the role of speaker encoder in TSE and generality of SPK-AUG[1]
|
|
|
| Junming Yuan
|
- MT-Hubert exp[2]:
- codebook set + infoNCE ---> FC+softmax+CE / FC+sigmoid+BCE
- To reduce the learning rate can work.
- verified the feat-mask MT-Hubert with different lr
- time-mask MT-Hubert verification (in progress)
|
|
|
| Chen Chen
|
|
|
|
| Xiaolou Li
|
|
|
|
| Zehua Liu
|
- Av-Hubert as Encoder performe very bad(cer:80%)
- after finetune maybe better ,but still bad
- Qwen-14B perform better(47%) than Qwen-7B(50%)
- Finish In-Context-Learning code and is training
- maybe i will get result very soon
|
|
|
| Pengqi Li
|
- Evaluate TAO and LayerCAM(verification) reliability.
- Exploring the Consistency of TAO and LayerCAM Results on different models and datasets.
|
|
|
| Wan Lin
|
|
|
|
| Tianhao Wang
|
|
|
|
| Xiaoxue Luo
|
- Paper reading about sound separation
- AudioSep reproduction
- Training time is too long -> replace with a small dataset(in training)
|
|
|
| Zhenyu Zhou
|
|
|
|
| Junhui Chen
|
|
|
|
| Jiaying Wang
|
|
|
|
| Yu Zhang
|
- SocioDojo Llama version
- news integration is adjusted once every 12 hours
- wikipedia & google search is banned
|
|
|
| Wenqiang Du
|
- Check the data from past training models and update the KWS model again（Model testing）
- Chinese, Cantonese, Minnan, Haining and Uyghur
|
|
|
| Yang Wei
|
- Train text enroll KWS model with updated code (in progress)
|
|
|
| Lily
|
|
|
|
| Turi
|
- Whisper model finetuning[3]
|
|
|
| Yue Gu
|
- revise the TASLP paper
- read several papers about accent and prosody
|
|
|
| Qi Qu
|
- AED: classifiers retrained w/ new method (suppression on negative stimuli) and improvement attested.
|
|
|
