“News-2018-11-18”版本间的差异
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The Oriental Language Recognition (OLR) Challenge 2018, co-organized by CSLT@Tsinghua University and Speechocean, was completed with a great success. | The Oriental Language Recognition (OLR) Challenge 2018, co-organized by CSLT@Tsinghua University and Speechocean, was completed with a great success. | ||
− | The results have been published in the APSIPA ASC, | + | The results have been published in the APSIPA ASC, Nov 12-15, 2018, Hawaii, USA. [https://mp.weixin.qq.com/s?__biz=MzI2MzU4NDI4NA==&mid=2247483809&idx=1&sn=78c27514e41cb76a61fd95f57f577e9f&chksm=eab8eed2ddcf67c4a609bdfaf9cf1ca8fffa73c3b1b97ba81b2fb375878e2246c8ae4aea992e&scene=0&xtrack=1#rd WeChat News]. |
=== Overview === | === Overview === | ||
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The submissions have been ranked in terms of the 3 language recognition tasks respectively, | The submissions have been ranked in terms of the 3 language recognition tasks respectively, | ||
one is short-utterance identification task, the second one is confusing-language identification task, and the third one is open-set identification task. | one is short-utterance identification task, the second one is confusing-language identification task, and the third one is open-set identification task. | ||
+ | We just present the results and details of the top 10 teams. | ||
=== Task 1 === | === Task 1 === | ||
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For more details of the OLR challenge, please see [http://olr.cslt.org its homepage]. | For more details of the OLR challenge, please see [http://olr.cslt.org its homepage]. | ||
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+ | === OLR 2018 Workshop === | ||
+ | Coming soon. | ||
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+ | Many teams couldn't attend the conference in the USA, so we will organize a workshop to make each other meet and share. |
2018年11月28日 (三) 23:31的最后版本
The Oriental Language Recognition (OLR) Challenge 2018, co-organized by CSLT@Tsinghua University and Speechocean, was completed with a great success. The results have been published in the APSIPA ASC, Nov 12-15, 2018, Hawaii, USA. WeChat News.
Overview
There are totally 25 teams that registered this challenge. Until the deadline of submission, 17 teams submitted their results. The submissions have been ranked in terms of the 3 language recognition tasks respectively, one is short-utterance identification task, the second one is confusing-language identification task, and the third one is open-set identification task. We just present the results and details of the top 10 teams.
Task 1
Task 2
Task 3
For more details of the OLR challenge, please see its homepage.
OLR 2018 Workshop
Coming soon.
Many teams couldn't attend the conference in the USA, so we will organize a workshop to make each other meet and share.