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| 第6行： |
第6行： |
| | |Dong Wang | | |Dong Wang |
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| − | * | + | * AI graph (high education version) |
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| 第49行： |
第49行： |
| | * Exploring the role of speaker encoder in TSE[https://z1et6d3xtb.feishu.cn/docx/GHF8doRjDo50ihxGUPpcsZgLncb] | | * Exploring the role of speaker encoder in TSE[https://z1et6d3xtb.feishu.cn/docx/GHF8doRjDo50ihxGUPpcsZgLncb] |
| | ** Joint traing Spk Enc have better separation effect, but the EER is poor | | ** Joint traing Spk Enc have better separation effect, but the EER is poor |
| − | ** Pretrain & Freeing Spk Enc EER well, but SI-SDR is poor | + | ** Pretrain & Freezing Spk Enc EER well, but SI-SDR is poor |
| | ** Further explore the different impacts of using spk aug on different tasks | | ** Further explore the different impacts of using spk aug on different tasks |
| | * The generality of SPK-AUG | | * The generality of SPK-AUG |
| 第99行： |
第99行： |
| | |Zehua Liu | | |Zehua Liu |
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| − | * | + | *Baseline System VSP-LLM |
| | + | *Try Qwen2.5-14B[https://z1et6d3xtb.feishu.cn/docx/JBsidACDVojhCaxFQLbcCVbsnAc?from=from_copylink] |
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| | * | | * |
| 第167行： |
第168行： |
| | |Junhui Chen | | |Junhui Chen |
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| − | * | + | * Voxblink1 model training and testing |
| | + | ** Writing test code for NS in ossi test. |
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| | * | | * |
| 第223行： |
第225行： |
| | |Lily | | |Lily |
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| − | * | + | * APSIPA workshop Tianjin and Prepare Friday's report |
| | + | * Prepare for online-course |
| | + | * AI radiance's daily work |
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| | * | | * |
| People |
This Week |
Next Week |
Task Tracking (DeadLine)
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| Dong Wang
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- AI graph (high education version)
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| Lantian Li
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- AI-Graph handbook v0.1
- AI-Graph EN (12/50)
- Huawei TiDing 3.0 - Model Quantization
- BUPT/AI-Radiance trivial things
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| Ying Shi
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- Add 4 kinds of negative sampling strategies Optimized Text-enroll KWS code
- (deletion, substitution, insertion, and shuffle) and verify them to ensure no bugs.
- Find that new negative sampling will increase the difficulty of training which indicates that only depending on positional embedding is not enough.
- Reproduce conditional chain overlap asr (Sequence to Multi-Sequence Learning via Conditional Chain Mapping for Mixture Signals)
- According to Jiaying's work the code released by the published paper can not work
- Write dominance-based conditional chain overlap asr by myself (in progress)
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| Zhenghai You
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- Exploring the role of speaker encoder in TSE[1]
- Joint traing Spk Enc have better separation effect, but the EER is poor
- Pretrain & Freezing Spk Enc EER well, but SI-SDR is poor
- Further explore the different impacts of using spk aug on different tasks
- The generality of SPK-AUG
- Refactored DPRNN-TSE results are reliable and have been accelerated from 87 hours to 32 hours
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| Junming Yuan
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| Chen Chen
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| Xiaolou Li
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- Use MFA on LRS3 to cut it into small segments
- Use discrete embedding of avhubert in vsp-llm training (Still training)
- Some idea of align video feature and LLM (Dense Connector, CL methods)
- Handover the data collection and get familiar with the process
- Data Collection: 3138 h (need to re-check, DDL: 10.15)
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| Zehua Liu
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- Baseline System VSP-LLM
- Try Qwen2.5-14B[2]
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| Pengqi Li
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| Wan Lin
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- Voxblink1 model training and testing [3]
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| Tianhao Wang
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- AudioSep reproduction
- problem: LAION CLAP needs 48kHz audio so the data needs to be up-resample
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| Xiaoxue Luo
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- AI-Graph High school handbook(v0.1)
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| Zhenyu Zhou
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- Model Quantization document submit
- Review conditional chain code
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| Junhui Chen
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- Voxblink1 model training and testing
- Writing test code for NS in ossi test.
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| Jiaying Wang
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| Yu Zhang
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- Fri Report
- Change SocioDojo Agent from ChatGPT-3.5-Turbo to Llama-3.1-8B (still working)
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| Wenqiang Du
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- Check primary school handbook(43/45)
- Release chinese and haining KWS model
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| Yang Wei
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| Lily
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- APSIPA workshop Tianjin and Prepare Friday's report
- Prepare for online-course
- AI radiance's daily work
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| Turi
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- Segmented audios in dataset into individual words.
- Paper reading
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| Yue Gu
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- Almost complete the revisions of my journal paper
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| Qi Qu
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- KWS
- Testing zh48 models on dataset of Mandarin Chinese w/ Guangdong accent: recall drops significantly.
- AED
- Evaluating third-party solution of baby crying detection.
- Misc.
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