AP19-OLR Challenge: Three Tasks and Their Baselines

July 16, 2019 Β· Declared Dead Β· πŸ› Asia-Pacific Signal and Information Processing Association Annual Summit and Conference

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Authors Zhiyuan Tang, Dong Wang, Liming Song arXiv ID 1907.07626 Category eess.AS: Audio & Speech Cross-listed cs.CL, cs.SD Citations 37 Venue Asia-Pacific Signal and Information Processing Association Annual Summit and Conference Last Checked 6 months ago
Abstract
This paper introduces the fourth oriental language recognition (OLR) challenge AP19-OLR, including the data profile, the tasks and the evaluation principles. The OLR challenge has been held successfully for three consecutive years, along with APSIPA Annual Summit and Conference (APSIPA ASC). The challenge this year still focuses on practical and challenging tasks, precisely (1) short-utterance LID, (2) cross-channel LID and (3) zero-resource LID. The event this year includes more languages and more real-life data provided by SpeechOcean and the NSFC M2ASR project. All the data is free for participants. Recipes for x-vector system and back-end evaluation are also conducted as baselines for the three tasks. The participants can refer to these online-published recipes to deploy LID systems for convenience. We report the baseline results on the three tasks and demonstrate that the three tasks are worth some efforts to achieve better performance.
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