| People |
This Week |
Next Week |
Task Tracking (DeadLine)
|
| Dong Wang
|
- AI handbook high-school version, recheck
- Publication stuff
|
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| Lantian Li
|
- Go on AI-Graph EN (49/50)
|
|
|
| Ying Shi
|
- Try to reproduce the CTC conditional-chain ASR baseline (failed)
- check code with PIT loss (code looks fine)
- Try to train a model that only recognizes the most dominant components (failed)
|
|
|
| Zhenghai You
|
- The first Chinese version of the paper [1]
- Online Demo UI Design for Huawei Project[2]
|
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|
| Junming Yuan
|
- Check the high school AI handbook(done)
- Organize our photos
- The results of MT-Hubert on LS960[3]
- 2-mixed Test: 400K steps top-2 ACC: 74.63% ---> 1600K steps top-2 ACC: 79.43%
|
|
|
| Xiaolou Li
|
- Process server code update
- Data audit (until 15th Jan)
|
|
|
| Zehua Liu
|
- Paper Reading
- Writing Code for loading larger LLM（32B and 72B）
- Interspeech paper writing
- Collected Data Checking （With Xiaolou）
|
|
|
| Pengqi Li
|
- IS25 Proposal almost done
- writing the experimental part
- checks and analysis the result
- Go to the hospital for a follow-up and return lab.
|
|
|
| Wan Lin
|
- NS: Adopt multi-enroll, margin-bce and long-duration test to resnet+transformer model: EER 1.23%->1.13%
|
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|
| Tianhao Wang
|
- writing the chain-based sound sep code
- test some SED pretraining under mix scenario
|
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|
| Xiaoxue Luo
|
- got a bad flu
- read papers
|
|
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| Zhenyu Zhou
|
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| Junhui Chen
|
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| Jiaying Wang
|
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| Yu Zhang
|
- Finish Multi Agent Investment pipeline debug, experiment still running (can get a draft result this week)
|
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|
| Wenqiang Du
|
- Check Primary handbook
- Some project cooperation
|
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|
| Yang Wei
|
- Train Text enroll kws model (pretrain w ctc loss + finetune w/o ctc loss). Not success yet.
- Develop ASR REST service based on FunASR model.
|
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|
| Turi
|
- Did experiment on Conformer CTC with nbpe=500 (26 to 18 WER)
- Refined ICASSP paper for final submission and submitted it
- Prepare for interview
|
|
|
| Yue Gu
|
- design the fine-grained personality extractor to produce the phone-level voice charactor similarity (code is in progress)
- check the primary school handbook
|
|
|
| Qi Qu
|
- AED:
- CED classifiers implemented on mr536 NPU.
- KWS:
- Training data collected and processed for Qingdao dialect, 20 keywords.
- Analysis of some prod FAs.
- Android demo and supporting backend services: KWS + ASR/MT -> instruction submission.
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