“2024-08-26”版本间的差异

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（14位用户的25个中间修订版本未显示）
第6行： 第6行：
 
|Dong Wang
 
|Dong Wang
 
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* Primary school book (17)
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* College AI education
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第17行： 第19行：
 
|Lantian Li
 
|Lantian Li
 
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* GPU status [https://z1et6d3xtb.feishu.cn/wiki/XGcGwRK5viJmpRkjH9AczIhynCh]
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*AI primary
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** High school handbook (40/40)
 
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第28行： 第32行：
 
|Ying Shi
 
|Ying Shi
 
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* Fenyinta stuff
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* reproduce cohort-SOT overlap ASR and some analysis
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* Text enroll keywords spotting intermediate PIT-SOT CTC + high layer cross-attention is in progress  [https://z1et6d3xtb.feishu.cn/docx/DI3UdF496ojxCQxTqUycsjDQnxf?from=from_copylink here]
 
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第39行： 第45行：
 
|Zhenghai You
 
|Zhenghai You
 
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* Speaker Augument: Completed experiments in Libri2mix, Low SISDR testset lower speaker confusion rate
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* ExFormer: Always inferior to the SOTA[https://z1et6d3xtb.feishu.cn/docx/ZbtsdTGuQo4IXnxuxHXcpvBynoe]
 
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第49行： 第56行：
 
|Junming Yuan
 
|Junming Yuan
 
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* Confirmed that the performance gap of the 10% is determined by the impact of GPUs.
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* Confirmed that the performance gap of the 10% is determined by the impact of GPUs[https://z1et6d3xtb.feishu.cn/docx/PaATdHi26oEc0Pxovd4cSyp0nQ2].
 
** To fully reproduce the official model, it would take approximately 32 days.
 
** To fully reproduce the official model, it would take approximately 32 days.
 
* Investigate how to train Hubert with Mix-speech (in progress)
 
* Investigate how to train Hubert with Mix-speech (in progress)
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|Chen Chen
 
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第73行： 第69行：
 
|Xiaolou Li
 
|Xiaolou Li
 
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* LLM long context test
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* Poster for IS24
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* Paper reading
 
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第84行： 第82行：
 
|Zehua Liu
 
|Zehua Liu
 
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*CNVSRC 2024 Website
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*Data transfer to HUAWEI
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*LLM in Chinese VSR(In-context-learning)
 
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第102行： 第102行：
 
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* 9.20(one month)
 
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第109行： 第109行：
 
|Wan Lin
 
|Wan Lin
 
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* Neural Scoring: vox2+voxblink1 [https://z1et6d3xtb.feishu.cn/docx/BywjdkGvNou12sxQ4dAcxYa9noh?from=from_copylink]
 
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第125行： 第125行：
 
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第132行： 第131行：
 
|Zhenyu Zhou
 
|Zhenyu Zhou
 
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*Some thinking about onnx quantization[https://z1et6d3xtb.feishu.cn/docx/S9ChdyH7go490txZ2ZHcNjXTn2b]
 
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第143行： 第142行：
 
|Junhui Chen
 
|Junhui Chen
 
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* Neural Scoring:
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** Vox2+Voxblink-clean test[https://z1et6d3xtb.feishu.cn/docx/BywjdkGvNou12sxQ4dAcxYa9noh#Ro69dyERUoN0HvxOGMWcOJjrnuf]
 
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第154行： 第154行：
 
|Jiaying Wang
 
|Jiaying Wang
 
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* re-write conditional chain code(can be finished this week)
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* check wsj data
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第165行： 第167行：
 
|Yu Zhang
 
|Yu Zhang
 
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* AED engineering problem assist
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* Prepare for report
 
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第176行： 第179行：
 
|Wenqiang Du
 
|Wenqiang Du
 
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* Complete the unified format and recheck of Primary school handbook
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* Write middle school handbook(29-41)
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* Training Chinese and Cantonese KWS model
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第187行： 第191行：
 
|Yang Wei
 
|Yang Wei
 
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* Check the badcase of KWS model test.
 
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第216行： 第220行：
 
|Yue Gu
 
|Yue Gu
 
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* write the introduction
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* test the adaptation model on the same accent data:[https://www.yuque.com/g/shibeiing/angax2/efpdhqvsxdi4phua/collaborator/join?token=ysvAeigXC9KFi4CF&source=doc_collaborator]
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（got sick today）
 
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第225行： 第231行：
 
|Qi Qu
 
|Qi Qu
 
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* KWS:
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** zh48 test dataset updated: 29 speakers in 3 locations, ~600 utterances per keyword.
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** Recall ~ FA relations plotted.
 
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2024年8月26日 (一) 11:03的最后版本

People This Week Next Week Task Tracking (DeadLine)
Dong Wang
  • Primary school book (17)
  • College AI education
Lantian Li
  • GPU status [1]
  • AI primary
    • High school handbook (40/40)
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
Zhenghai You
  • Speaker Augument: Completed experiments in Libri2mix, Low SISDR testset lower speaker confusion rate
  • ExFormer: Always inferior to the SOTA[2]
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)
Xiaolou Li
  • LLM long context test
  • Poster for IS24
  • Paper reading
Zehua Liu
  • CNVSRC 2024 Website
  • Data transfer to HUAWEI
  • LLM in Chinese VSR(In-context-learning)
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.
  • 9.20(one month)
Wan Lin
  • Neural Scoring: vox2+voxblink1 [5]
Tianhao Wang
  • AudioSep reproducing
  • IS24 poster
Zhenyu Zhou
  • Some thinking about onnx quantization[6]
Junhui Chen
  • Neural Scoring:
    • Vox2+Voxblink-clean test[7]
Jiaying Wang
  • re-write conditional chain code(can be finished this week)
  • check wsj data
Yu Zhang
  • AED engineering problem assist
  • Prepare for report
Wenqiang Du
  • Complete the unified format and recheck of Primary school handbook
  • Write middle school handbook(29-41)
  • Training Chinese and Cantonese KWS model
Yang Wei
  • Check the badcase of KWS model test.
Lily
Turi
  • Added more sections to the draft paper
    • Need to refine and do more experiments
Yue Gu
  • write the introduction
  • test the adaptation model on the same accent data:[8]

（got sick today）

Qi Qu
  • KWS:
    • zh48 test dataset updated: 29 speakers in 3 locations, ~600 utterances per keyword.
    • Recall ~ FA relations plotted.
取自“http://index.cslt.org/mediawiki/index.php?title=2024-08-26&oldid=42179”