“2024-01-29”版本间的差异

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(恢复Lilt讨论)的编辑至Liuzehua的最后版本)
 
(10位用户的11个中间修订版本未显示)
第30行: 第30行:
 
|Ying Shi
 
|Ying Shi
 
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*  
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* Keyword-Attributed OverLap ASR
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** Fix test dataset: LibirMix-Espnet & LibriMix-Official (2 mix clean)
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** Finish model training: KA-ASR-Full, KA-ASR-Oracle, SOT-Our
 +
* Cohort Overlap ASR
 +
** Finish first step:  Recognize one source from mixture by employ speaker embedding
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* [https://z1et6d3xtb.feishu.cn/wiki/QoNWwCs9QibHt7k670hcxZBYncb?from=from_copylink group work]
 
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第41行: 第46行:
 
|Zhenghai You
 
|Zhenghai You
 
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* cohort embedding replace speakerbeam speaker embedding
 
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第71行: 第76行:
 
** Get some statistics
 
** Get some statistics
 
* DeepFake
 
* DeepFake
** Human Test on DFDC
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** Human Test on DFDC [https://z1et6d3xtb.feishu.cn/docx/N5u6dSmgNoYHT2xzP2IcymxFn6d?from=from_copylink]
 
** Zehua & Xiaolou Report
 
** Zehua & Xiaolou Report
 
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第83行: 第88行:
 
|Xiaolou Li
 
|Xiaolou Li
 
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* test on LAV-DF dataset
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* dataset survey
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* weekly report
 
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第94行: 第101行:
 
|Zehua Liu
 
|Zehua Liu
 
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* weekly report
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* AV-Hubert test
 
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第105行: 第113行:
 
|Pengqi Li
 
|Pengqi Li
 
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*  
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* Duration mismatch with XueYing[https://z1et6d3xtb.feishu.cn/docx/CDcxdX5BcomHlCx2So5cWxL8nVg]
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** Compare pre-TDNN 和 post-TDNN
 
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第127行: 第136行:
 
|Tianhao Wang
 
|Tianhao Wang
 
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* IS24 paper writing (english version & latex)
 
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第174行: 第183行:
 
|Yu Zhang
 
|Yu Zhang
 
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* Financial Pipeline
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** adapt portfolio policy to position changes
 
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第185行: 第195行:
 
|Wenqiang Du
 
|Wenqiang Du
 
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*  Diting Projiect
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*  Diting Project
 
**data aug
 
**data aug
 
**add gaussian noise to control FA
 
**add gaussian noise to control FA

2024年2月19日 (一) 10:50的最后版本

People This Week Next Week Task Tracking (DeadLine)
Dong Wang
  • MicroMagnetic paper, the first pass completed.
Lantian Li
  • GPU status [1]
  • ASIP-BUPT (Neural Scoring)
  • ASIP Annual report
Ying Shi
  • Keyword-Attributed OverLap ASR
    • Fix test dataset: LibirMix-Espnet & LibriMix-Official (2 mix clean)
    • Finish model training: KA-ASR-Full, KA-ASR-Oracle, SOT-Our
  • Cohort Overlap ASR
    • Finish first step: Recognize one source from mixture by employ speaker embedding
  • group work
Zhenghai You
  • cohort embedding replace speakerbeam speaker embedding
Junming Yuan
  • Check and organize the mix-training pretraining experiment project.
·Solving the error of MFA on dragon03.(done)
·Extending the pretraining data.(done)
·Exploring the effect of BN in the few-shot finetuning(in progress).
Chen Chen
  • CNCVS data collect
    • Finished testing phase with support from sunyiwei,shuyanzhi,mengshuaiming
  • Child Record Website
    • Finished phoneme annotation phase
    • Get some statistics
  • DeepFake
    • Human Test on DFDC [2]
    • Zehua & Xiaolou Report
Xiaolou Li
  • test on LAV-DF dataset
  • dataset survey
  • weekly report
Zehua Liu
  • weekly report
  • AV-Hubert test
Pengqi Li
  • Duration mismatch with XueYing[3]
    • Compare pre-TDNN 和 post-TDNN
Wan Lin
Tianhao Wang
  • IS24 paper writing (english version & latex)
Zhenyu Zhou
  • Signal leval Speaker Augmentation Plan[4]:
    • Transformation(Random based & Knowledge based)
    • Speaker Characteristics Guided Voice Conversion
Junhui Chen
Jiaying Wang
  • speaker encoder preparation(ResNet34_ASP_AAMSoftmax-LMFT)
  • gender divide test on speaker beam
  • cohort with min SNR loss pb
Yu Zhang
  • Financial Pipeline
    • adapt portfolio policy to position changes
Wenqiang Du
  • Diting Project
    • data aug
    • add gaussian noise to control FA
Yang Wei
  • Huilan stuff
    • Develop stream mode ASR interface for ASR service
    • Deal with time delay problem with long text input for TTS service
Lily
  • update statistical results[5]