“News-2019-03-24”版本间的差异

来自cslt Wiki
跳转至: 导航搜索
第40行: 第40行:
  
 
[[文件:Olr18w7.png|400px]]
 
[[文件:Olr18w7.png|400px]]
 +
 +
==Slides==
 +
Many thanks to Prof Hong[[媒体文件:Olr18 workshop hongqingyang.pdf | [pdf]]], Prof Tang[[媒体文件:Olr18 workshop tangzhengda.pdf |[pdf]]] and Prof Li [[媒体文件:Olr18 workshop liming.pdf | [pdf]]] for sharing their slides.
 +
  
 
See more details about [http://cslt.riit.tsinghua.edu.cn/mediawiki/index.php/OLR_Challenge_2018 the OLR challenge 2018].
 
See more details about [http://cslt.riit.tsinghua.edu.cn/mediawiki/index.php/OLR_Challenge_2018 the OLR challenge 2018].

2019年4月3日 (三) 13:33的版本

The OLR 2018 workshop was successfully held on Sunday afternoon, Mar 24, 2019, in FIT building, Tsinghua University.

Schedule

You may see the schedule in Chinese below.

Olr18w.jpg


Glimpse

Briefly, the workshop had several wonderful speeches and also gave awards to the winners of OLR Challenge 2018.

We saw that the hall had no space for more audiences.

Olr18w1.png

First, Prof Dong Wang, the main organizer of OLR challenge 2018, introduced the OLR Challenge and the workshop.

Olr18w2.png

Then, Prof Qingyang Hong from Xiamen University gave a talk about how his team had got the best performance of task 1 in the challenge.

Olr18w3.png

Next, Prof Zhengda Tang from Chinese Academy of Social Sciences revealed the secrets of worldwide languages.

Olr18w4.png

After that, Prof Ming Li from Duke Kunshan University shared their end-to-end technologies on speaker/language recognition.

Olr18w5.png

Finally, Prof Thomas Fang Zheng, the director of CSLT, and Liming Song, Marketing Director of Speechocean, gave the awards to the winners of the challenge.

The xmuspeech team from Xiamen University got the best performance in the first task.

Olr18w6.png

The NetEase AI-Speech Group got the best performance in both the second and third tasks.

Olr18w7.png

Slides

Many thanks to Prof Hong [pdf], Prof Tang[pdf] and Prof Li [pdf] for sharing their slides.


See more details about the OLR challenge 2018.