“News-2018-11-18”版本间的差异

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(以“The Oriental Language Recognition (OLR) Challenge 2018, co-organized by CSLT@Tsinghua University and Speechocean, was completed with a great success. The results hav...”为内容创建页面)
 
Overview
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=== Overview ===
 
=== Overview ===
 
There are totally <span style="color:red"> '''25'''</span> teams that registered this challenge.
 
There are totally <span style="color:red"> '''25'''</span> teams that registered this challenge.
Until the deadline of submission, <span style="color:red">'''17'''</span> teams submitted their results and were ranked.
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Until the deadline of submission, <span style="color:red">'''17'''</span> teams submitted their results.
 
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.
 
  
 
=== Task 1 ===
 
=== Task 1 ===

2018年11月18日 (日) 05:57的版本

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, Dec 12-15, 2018, Hawaii, USA.

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.

Task 1

Olr18-1-overview.png

Olr18-1-10.png

Olr18-1-10-detail.png


Task 2

Olr18-2-overview.png

Olr18-2-10.png

Olr18-2-10-detail.png


Task 3

Olr18-3-overview.png

Olr18-3-10.png

Olr18-3-10-detail.png


For more details of the OLR challenge, please see its homepage.