“2024-11-18”版本间的差异
来自cslt Wiki
Luoxiaoxue（讨论 | 贡献） |
Duwenqiang（讨论 | 贡献） |
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| （6位用户的7个中间修订版本未显示） | |||
| 第18行： | 第18行： | ||
|Lantian Li | |Lantian Li | ||
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| − | * | + | * AI-Graph EN Chapter 3 Done |
| + | * 2025 Daily Sign v1.0 Done | ||
| + | * CSTR Report | ||
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| 第29行： | 第31行： | ||
|Ying Shi | |Ying Shi | ||
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| − | * | + | * Test Google's product about sound separation |
| + | * Correct the test results of the previous condition overlap asr model [https://z1et6d3xtb.feishu.cn/docx/GtmydP85Noq1eIx56z3c7qV5nWc?from=from_copylink here] | ||
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| 第75行： | 第78行： | ||
|Xiaolou Li | |Xiaolou Li | ||
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| − | * | + | * Finally finish the VTS report |
| + | * Data preparation | ||
| + | ** CVS3 process 1/4 | ||
| + | ** take over webVideo from SUN CHANG and preprocess it through auto-avsr pipline | ||
| + | * Code preparation | ||
| + | ** Finish the Conformer/CTC pretraining code | ||
| + | ** Still debuging AVHuBERT pretraining code | ||
| + | * Paper reading... | ||
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| 第86行： | 第96行： | ||
|Zehua Liu | |Zehua Liu | ||
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| − | * | + | *VTS Documents Revise with Xiaolou |
| + | *Iterative inference training | ||
| + | *LLM Different context length[https://z1et6d3xtb.feishu.cn/docx/JBsidACDVojhCaxFQLbcCVbsnAc?from=from_copylink] | ||
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| 第143行： | 第155行： | ||
|Zhenyu Zhou | |Zhenyu Zhou | ||
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| − | * | + | *Huawei project |
| + | *read papers | ||
| + | *code review(Design new ordering method) | ||
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| 第176行： | 第190行： | ||
|Yu Zhang | |Yu Zhang | ||
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| − | * | + | * ICCIP 2024 |
| + | * Paper reading about LLM Market Simulation | ||
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| 第187行： | 第202行： | ||
|Wenqiang Du | |Wenqiang Du | ||
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| − | * | + | * ICCIP2024 |
| + | * Participated in an AI competition | ||
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| 第198行： | 第216行： | ||
|Yang Wei | |Yang Wei | ||
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| − | * | + | * Do text enroll kws model experiment on small data set.(https://z1et6d3xtb.feishu.cn/docx/WLLLd2zQvoiE78xfMhpcHejdnnd) |
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| 第236行： | 第254行： | ||
|Qi Qu | |Qi Qu | ||
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| − | * | + | * Knock detection: output every knock's offset so that a shorter audio can be built to speed up human verification. |
| + | * Text-enroll KWS: model i/o optimized; 2.5x faster than the first version. | ||
| + | * KWS: Chongqing dialect train dataset (15 keywords, ~24.5k utterances). | ||
| + | * Exp. using new FunASR model (SeACoParaformer) for cloud verification, which handles hotwords better. | ||
| + | * Exp. using B0-based KWS model for local verification after detection from Chipintelli's chip. | ||
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2024年11月18日 (一) 11:14的最后版本
| People | This Week | Next Week | Task Tracking (DeadLine) |
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| Dong Wang |
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| Lantian Li |
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| Ying Shi |
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| Zhenghai You |
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| Junming Yuan |
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| Chen Chen |
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| Xiaolou Li |
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| Zehua Liu |
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| Pengqi Li |
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| Wan Lin |
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| Tianhao Wang |
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| Xiaoxue Luo |
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| Zhenyu Zhou |
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| Junhui Chen |
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| Jiaying Wang |
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| Yu Zhang |
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| Wenqiang Du |
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| Yang Wei |
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| Lily |
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| Turi |
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| Yue Gu |
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| Qi Qu |
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