Difference between revisions of "News-20161216"

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===More details===
 
===More details===
* More details are in the slides on the AP16 special session. Click [[媒体文件:AP16-Language-final.pdf|here]]
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* More details about the special session is [http://cslt.riit.tsinghua.edu.cn/mediawiki/index.php/ASR-events-AP16 here].
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* More details about the challenge is [http://cslt.riit.tsinghua.edu.cn/mediawiki/index.php/ASR-events-AP16-details here].
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* More detailed results are in the slides on the AP16 special session. Click [[媒体文件:AP16-Language-final.pdf|here]].

Revision as of 12:28, 16 December 2016

CSLT@Tsinghua University collaborated with SpeechOcean called for the oriental language recognition (OLR) challenge on APSIPA 2016. We received eight submissions, and the results have been released on the special session on "oriental multilingual speech and language processing" on APSIPA 2016, Dec, 16th, 2016.


Cavg results

Rank Team Cavg EET% minDCF IDR% Main researchers
1 NUS and I2R (1), Singapore 1.13 1.09 0.0108 97.56 Haizhou Li, Hanwu Sun, Kong Aik Lee, Nguyen Trung Hieu, Bin Ma
2 NUS and I2R (2), Singapore 1.70 1.02 0.0101 97.60 Haizhou Li, Hanwu Sun, Kong Aik Lee, Nguyen Trung Hieu, Bin Ma
3 USTC, China 1.79 2.17 0.0205 96.94 Wu Guo
4 NTUT, Taiwan, China 5.86 5.88 0.0586 87.02 Yuanfu Liao , Sing-Yue Wang
5 MMCL_RUC, China 6.06 6.16 0.0610 86.21 Haibing Cao, Qin Jin
6 PJ-Han, Germany 14.00 17.34 0.1365 77.65 Anonymous
7 NTU, Singapore 14.72 17.44 0.1657 71.44 Haihua Xu
8 XS-CO, China 36.99 40.26 0.3924 31.91 Anonymous
9 TLO, China 50.00 53.34 0.4999 12.37 Anonymous
  • Red submissions are better than the baseline
  • USTC is the only prior submission
  • NUS and I2R systems used 40 days

DET curves

Ap16-olr-det.png

More details

  • More details about the special session is here.
  • More details about the challenge is here.
  • More detailed results are in the slides on the AP16 special session. Click here.