“OLR Challenge 2017”版本间的差异
（→Results, Ranking List and Ground Truth Released） |
|||
| 第112行： | 第112行： | ||
Of the 31 teams, | Of the 31 teams, | ||
19 ones submitted their results completely, | 19 ones submitted their results completely, | ||
| − | 4 ones submitted partially, | + | 4 ones (Chicken Dinner, CLR, LonelySpoon, CIAIC, asrboys, and 519) submitted partially, |
and 8 ones failed to submit anything. | and 8 ones failed to submit anything. | ||
The submissions of the <span style="color:red"> '''19'''</span> positive teams have been ranked in two lists, | The submissions of the <span style="color:red"> '''19'''</span> positive teams have been ranked in two lists, | ||
| 第122行： | 第122行： | ||
=== Ranking List on Overall Performance === | === Ranking List on Overall Performance === | ||
| − | For the overall performance ranking list, we present the results and details of the <span style="color:red"> '''top 6'''</span> | + | For the overall performance ranking list, we present the results and details of the 19 teams and <span style="color:red"> '''top 6'''</span> systems defeated the baseline. |
| − | [[文件: | + | [[文件:Olr17-overall.png | 600px]] |
| − | [[文件: | + | [[文件:Olr17-teams.png | 600px]] |
| 第132行： | 第132行： | ||
For the short-utterance level ranking list, we present the results and details of the <span style="color:red"> '''top 10'''</span> teams whose systems defeated the baseline. | For the short-utterance level ranking list, we present the results and details of the <span style="color:red"> '''top 10'''</span> teams whose systems defeated the baseline. | ||
| − | [[文件: | + | [[文件:Olr17-short-utt.png | 400px]] |
| − | [[文件: | + | === Others === |
| + | |||
| + | The details of the 6 passive teams that responded nothings are as follows: | ||
| + | |||
| + | [[文件:Olr17-passive.png | 400px]] | ||
2017年12月15日 (五) 11:22的版本
目录
Oriental Language Recognition (OLR) 2017 Challenge
Oriental languages involve interesting specialties. The OLR challenge series aim at boosting language recognition technology for oriental languages. Following the success of OLR Challenge 2016, the new challenge in 2017 follows the same theme, but sets up more challenging tasks in the sense of:
- more languages: OLR 2016 involves 7 languages, OLR 2017 involves 10 languages.
- shorter speech segments. OLR 2017 sets individual tasks for 1 second, 3 second and the original segments separately.
We will publish the results on a special session of APSIPA ASC 2017. See more details for the AP17 special session.
Announcement
- Number of teams that registered the challenge: 31.
Number of teams that wait to register the challenge: 38-31.
- Roobo agreed to sponsor OLR-2017. Teams with good results will be awarded, perhaps cash, but more probability a chatting robot. :)
- According to the request of some participants, the date for the result submission is changed to Oct. 10, 12:00 PM. The main reason is that some participants from China (particularly industrial participants) can not access the computing resource during Oct.1-Oct.7, which is China's national holiday.
Data
The challenge is based on two multilingual databases, AP16-OL7 that was designed for the OLR challenge 2016, and a new complementary AP17-OL3 database.
AP16-OL7 is provided by SpeechOcean (www.speechocean.com), and AP17-OL3 is provided by Tsinghua University, Northwest Minzu University and Xinjiang University, under the M2ASR project supported by NSFC.
The features for AP16-OL7 involve:
- Mobile channel
- 7 languages in total
- 71 hours of speech signals in total
- Transcriptions and lexica are provided
- The data profile is here
- The License for the data is here
The features for AP17-OL3 involve:
- Mobile channel
- 3 languages in total
- Tibetan provided by Prof. Guanyu Li@Northwest Minzu Univ.
- Uyghur and Kazak provided by Prof. Askar Hamdulla@Xinjiang University.
- 35 hours of speech signals in total
- Transcriptions and lexica are provided
- The data profile is here
- The License for the data is here
Evaluation plan
Refer to the scripts/paper following.
Evaluation tools
- The Kaldi-based baseline scripts here
Participation rules
- Participants from both academy and industry are welcome
- Publications based on the data provided by the challenge should cite the following paper:
Dong Wang, Lantian Li, Difei Tang, Qing Chen, AP16-OL7: a multilingual database for oriental languages and a language recognition baseline, APSIPA ASC 2016. pdf
Zhiyuan Tang, Dong Wang, Yixiang Chen, Qing Chen: AP17-OLR Challenge: Data, Plan, and Baseline, submitted to APSIPA ASC 2017. pdf
Important dates
- Jun. 20, AP17-OLR training/dev data release.
- Sep. 20, register deadline.
- Oct. 1, test data release.
-
Oct. 2, 12:00 PM, Beijing time, submission deadline. - Oct. 10, 12:00 PM, Beijing time, submission deadline.
- Oct. 22, 12:00 PM, Beijing time, delayed submission deadline.
- Dec. 12, 12:00 PM, Beijing time, extended submission deadline.
- APSIPA ASC 2017, results announcement.
Registration procedure
If you intend to participate the challenge, or if you have any questions, comments or suggestions about the challenge, please send email to the organizers:
- Dr. Dong Wang (wangdong99@mails.tsinghua.edu.cn)
- Dr. Zhiyuan Tang (tangzhiyuan12@mails.ucas.ac.cn)
- Ms. Qing Chen (chenqing@speechocean.com)
Organizers
- Dong Wang, Tsinghua University [home]
Error code: 127
- Zhiyuan Tang, Tsinghua University [home]
- Qing Chen, SpeechOcean
Registration status
Sponsor
Results, Ranking List and Ground Truth Released
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.
The ground truth for the test is here.
Overview
There are totally 31 teams that registered this challenge. Of the 31 teams, 19 ones submitted their results completely, 4 ones (Chicken Dinner, CLR, LonelySpoon, CIAIC, asrboys, and 519) submitted partially, and 8 ones failed to submit anything. The submissions of the 19 positive teams 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 19 teams and top 6 systems defeated the baseline.
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.
Others
The details of the 6 passive teams that responded nothings are as follows:
