“2023-10-23”版本间的差异

2023年10月23日 (一) 11:10的最后版本

People	This Week	Next Week
Dong Wang	AI-book experimental design, done. Presentation for voiceprint seminar Lin Wan's paper SIP doc, chatp 5, part.
Lantian Li	GPU status [1] APT-group (OverlapASV, Ob-Code) DeepTrader (TG-SAC) Beijing award materials	ICCIP and NC papers
Ying Shi	speaker attributed speech separation & keyword attributed speech separation code for ZEUS
Zhenghai You	SID model [2] AIdemo
Chen Chen	refine visual-speech data collection toolkit cnvsrc evaluation toolkit for submission system	prepare data collection website and database
Xiaolou Li	LM[3]
Zehua Liu	data_aug[4]
Pengqi Li	Phone's discrimination in deep SID [5] concat silence[6]
Wan Lin	NC paper
Tianhao Wang	ICCIP paper
Zhenyu Zhou	ICCIP paper
Junhui Chen	overlap ASV pipline: loss decreasing normally on vox1-overlap[7]	training on vox2-overlap
Jiaying Wang	Illustration of obcode[8]
Yu Zhang	AI-Demo[9] Illustration of obcode
Wenqiang Du
Yang Wei	Some test on audio-visual speech separation model.

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 |Xiaolou Li
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+* LM[https://z1et6d3xtb.feishu.cn/docx/ZseRd7dj1ogvT3x5R5VcrcPcnbg?from=from_copylink]
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 |Zehua Liu
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+* data_aug[https://z1et6d3xtb.feishu.cn/docx/EM4udVJwGo9kGqxUDcdcqO8nn8b?from=from_copylink]
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@@ 第92行： / 第92行： @@
 |Pengqi Li
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+* Phone's discrimination in deep SID [https://z1et6d3xtb.feishu.cn/docx/R8mUdlG2goLjphxQCk6c5zYhn5e]
+* concat silence[https://z1et6d3xtb.feishu.cn/docx/QdzJdXnFRoAMMix8bQIc6vf7nUb]
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@@ 第103行： / 第104行： @@
 |Wan Lin
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+* NC paper
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@@ 第136行： / 第137行： @@
 |Junhui Chen
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-* overlap ASV pipline: loss decreasing normally on vox1-overlap
+* overlap ASV pipline: loss decreasing normally on vox1-overlap[https://z1et6d3xtb.feishu.cn/docx/HLtwdr7OYoHWoJxv5qAc8mhlnLc?from=from_copylink]
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 * training on vox2-overlap
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 |Jiaying Wang
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+* Illustration of obcode[https://z1et6d3xtb.feishu.cn/docx/KVsWd2O5RodkXTxcLDsc81VQnOh]
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@@ 第158行： / 第159行： @@
 |Yu Zhang
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+* AI-Demo[https://z1et6d3xtb.feishu.cn/docx/SGpJdma3soPC0Ux3X1ac0sZjnTc]
+* Illustration of obcode
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@@ 第180行： / 第182行： @@
 |Yang Wei
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+* Some test on audio-visual speech separation model.
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