| People |
This Week |
Next Week |
Task Tracking (DeadLine)
|
| Dong Wang
|
- Primary school book (17)
- College AI education
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| Lantian Li
|
- GPU status [1]
- AI primary
- High school handbook (40/40)
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| Ying Shi
|
- Fenyinta stuff
- reproduce cohort-SOT overlap ASR and some analysis
- Text enroll keywords spotting intermediate PIT-SOT CTC + high layer cross-attention is in progress here
|
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| Zhenghai You
|
- Speaker Augument: Completed experiments in Libri2mix, Low SISDR testset lower speaker confusion rate
- ExFormer: Always inferior to the SOTA[2]
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| Junming Yuan
|
- Confirmed that the performance gap of the 10% is determined by the impact of GPUs[3].
- To fully reproduce the official model, it would take approximately 32 days.
- Investigate how to train Hubert with Mix-speech (in progress)
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|
| Xiaolou Li
|
- LLM long context test
- Poster for IS24
- Paper reading
|
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| Zehua Liu
|
- CNVSRC 2024 Website
- Data transfer to HUAWEI
- LLM in Chinese VSR(In-context-learning)
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|
| Pengqi Li
|
- Extend Proposal for 'HOW PHONEMES CONTRIBUTE TO DEEP SPEAKER MODELS?'[4]
- Reviewing code, paper.
- Analyzing di-phones in Audio-Mnist.
- Start exp with TIMIT dataset.
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| Wan Lin
|
- Neural Scoring: vox2+voxblink1 [5]
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| Tianhao Wang
|
- AudioSep reproducing
- IS24 poster
|
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| Zhenyu Zhou
|
- Some thinking about onnx quantization[6]
|
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| Junhui Chen
|
- Neural Scoring:
- Vox2+Voxblink-clean test[7]
|
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|
| Jiaying Wang
|
- re-write conditional chain code(can be finished this week)
- check wsj data
|
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| Yu Zhang
|
- AED engineering problem assist
- Prepare for report
|
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| Wenqiang Du
|
- Complete the unified format and recheck of Primary school handbook
- Write middle school handbook(29-41)
- Training Chinese and Cantonese KWS model
|
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| Yang Wei
|
- Check the badcase of KWS model test.
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| Lily
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| Turi
|
- Added more sections to the draft paper
- Need to refine and do more experiments
|
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| Yue Gu
|
- write the introduction
- test the adaptation model on the same accent data:[8]
（got sick today）
|
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| Qi Qu
|
- KWS:
- zh48 test dataset updated: 29 speakers in 3 locations, ~600 utterances per keyword.
- Recall ~ FA relations plotted.
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