AP17-OLR Challenge: Data, Plan, and Baseline
June 28, 2017 ยท Declared Dead ยท ๐ Asia-Pacific Signal and Information Processing Association Annual Summit and Conference
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Authors
Zhiyuan Tang, Dong Wang, Yixiang Chen, Qing Chen
arXiv ID
1706.09742
Category
cs.CL: Computation & Language
Citations
53
Venue
Asia-Pacific Signal and Information Processing Association Annual Summit and Conference
Last Checked
4 months ago
Abstract
We present the data profile and the evaluation plan of the second oriental language recognition (OLR) challenge AP17-OLR. Compared to the event last year (AP16-OLR), the new challenge involves more languages and focuses more on short utterances. The data is offered by SpeechOcean and the NSFC M2ASR project. Two types of baselines are constructed to assist the participants, one is based on the i-vector model and the other is based on various neural networks. We report the baseline results evaluated with various metrics defined by the AP17-OLR evaluation plan and demonstrate that the combined database is a reasonable data resource for multilingual research. All the data is free for participants, and the Kaldi recipes for the baselines have been published online.
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