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(2位用户的2个中间修订版本未显示) |
第69行: |
第69行: |
| |Xiaolou Li | | |Xiaolou Li |
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− | * | + | * LLM long context test |
| + | * Poster for IS24 |
| + | * Paper reading |
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第189行: |
第191行: |
| |Yang Wei | | |Yang Wei |
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− | * | + | * Check the badcase of KWS model test. |
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| * | | * |
第229行: |
第231行: |
| |Qi Qu | | |Qi Qu |
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− | * | + | * KWS: |
| + | ** zh48 test dataset updated: 29 speakers in 3 locations, ~600 utterances per keyword. |
| + | ** Recall ~ FA relations plotted. |
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People |
This Week |
Next Week |
Task Tracking (DeadLine)
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Dong Wang
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- Primary school book (17)
- College AI education
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Lantian Li
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- GPU status [1]
- AI primary
- High school handbook (40/40)
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Ying Shi
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- 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
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- 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
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- 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
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- LLM long context test
- Poster for IS24
- Paper reading
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Zehua Liu
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- CNVSRC 2024 Website
- Data transfer to HUAWEI
- LLM in Chinese VSR(In-context-learning)
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Pengqi Li
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- 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
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- Neural Scoring: vox2+voxblink1 [5]
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Tianhao Wang
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- AudioSep reproducing
- IS24 poster
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Zhenyu Zhou
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- Some thinking about onnx quantization[6]
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Junhui Chen
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- Neural Scoring:
- Vox2+Voxblink-clean test[7]
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Jiaying Wang
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- re-write conditional chain code(can be finished this week)
- check wsj data
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Yu Zhang
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- AED engineering problem assist
- Prepare for report
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Wenqiang Du
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- 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
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- Check the badcase of KWS model test.
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Lily
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Turi
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- Added more sections to the draft paper
- Need to refine and do more experiments
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Yue Gu
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- write the introduction
- test the adaptation model on the same accent data:[8]
(got sick today)
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Qi Qu
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- KWS:
- zh48 test dataset updated: 29 speakers in 3 locations, ~600 utterances per keyword.
- Recall ~ FA relations plotted.
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