| People |
This Week |
Next Week |
Task Tracking (DeadLine)
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| Dong Wang
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- AI middle school hand book / English version almost completed.
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| Lantian Li
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- Recheck AI textbooks for senior middle school.
- MoE daily work (busy week)
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- Go on the final review of my MLA book (6/10)
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| Wenqiang Du
|
- Project work about AIbabel
- Upgraded online model
- New demand technology survey
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| Yang Wei
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| Ying Shi
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| Yue Gu
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| Lily
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| Pengqi Li
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| Junming Yuan
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- learn-not-to-listen MT-HuBERT
- PR(PER%), LNTL-MT-HuBERT: 7.24%, Clean-HuBERT: 5.41%, WavLM: 4.84%
- ASR(WER%), LNTL-MT-HuBERT: 8.43%, Clean-HuBERT: 6.42%, WavLM: 6.21%
- SD(DER%), LNTL-MT-HuBERT: 4.31%, Cocktail-HuBERT: 4.07%, MT-HuBERT: 3.93%
- revise ICASSP final paper
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| Yu Zhang
|
- GPU Util: [1]
- LLM
- Completed the code for Swarm MMLU metric-based optimization together with @chenjunhui
- Still working on modifying the Swarm topology code (for more complex swarm topology)
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| Junhui Chen
|
- (caught a cold)
- MMLU
- difference in the ECS distribution between good nodes and bad nodes.
- metrics loss helps select high-quality nodes and eliminate low-quality ones. [2]
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| Jiaying Wang
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| Xiaoxue Luo
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- prepare 2mix speech separation results for ASR test
- 2-5mix multi_head separation model for Huawei project
- data: remove data that the target audio is mixed audio(input equals output, model does not learn)
- loss: add MSE_loss to the original SISDR_loss to control the energy amplitude of output audio
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| Bochao Hu
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- read papers
- prepare the weekly report
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| Hongcheng Zhang
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| Weiman Sun
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- Ran a completely opposite ASR task on the same data
- Consistent with last week's result
- Analyze different models
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