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| 第43行： |
第43行： |
| | |Zhenghai You | | |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[https://z1et6d3xtb.feishu.cn/docx/ZbtsdTGuQo4IXnxuxHXcpvBynoe] |
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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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| 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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| Chen Chen
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| Xiaolou Li
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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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| 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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| 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:
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| Qi Qu
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