“News-2017-12-15”版本间的差异
| 第6行： | 第6行： | ||
Until the deadline of extended submission (Dec. 12), | Until the deadline of extended submission (Dec. 12), | ||
<span style="color:red">'''19'''</span> teams submitted their results completely, | <span style="color:red">'''19'''</span> teams submitted their results completely, | ||
| − | <span style="color:red">''' | + | <span style="color:red">'''6'''</span> teams submitted partially or responded actively, |
and | and | ||
| − | <span style="color:red">''' | + | <span style="color:red">'''6'''</span> teams did not response after the data download. |
The <span style="color:red"> '''19'''</span> complete submissions have been ranked in two lists, | The <span style="color:red"> '''19'''</span> complete submissions have been ranked in two lists, | ||
one is by the overall performance (considering the performance on all conditions), | one is by the overall performance (considering the performance on all conditions), | ||
2017年12月15日 (五) 13:27的版本
The Oriental Language Recognition (OLR) Challenge 2017, 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, 2017, Kuala Lumpur, Malaysia.
Overview
There are totally 31 teams that registered this challenge. Until the deadline of extended submission (Dec. 12), 19 teams submitted their results completely, 6 teams submitted partially or responded actively, and 6 teams did not response after the data download. The 19 complete submissions have been ranked in two lists, one is by the overall performance (considering the performance on all conditions), and the other is by the performance on the short-utterance condition.
Ranking List on Overall Performance
For the overall performance ranking list, we present the results and details of the top 6 teams whose systems defeated the baseline provided by us.
Ranking List on Short-Utterance Condition
For the short-utterance level ranking list, we present the results and details of the top 10 teams whose systems defeated the baseline provided by us.
For more details of the OLR challenge, please see its homepage.
