AP19-OLR Challenge: Three Tasks and Their Baselines
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Abstract (arXiv)
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.
Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). First posted on arXiv 16 Jul 2019.
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Citing papers per year: 2021: 3; 2022: 4; 2023: 1.
8 papers.
- 2021OLR 2021 Challenge: Datasets, Rules and Baselinescited by 5
- 2023Cross-Corpora Spoken Language Identification with Domain Diversification and Generalizationcited by 4
- 2021Oriental Language Recognition (OLR) 2020: Summary and Analysiscited by 2
- 2021Dynamic Multi-scale Convolution for Dialect Identificationcited by 2
- 2022Transducer-based language embedding for spoken language identificationcited by 2
- 2022Pretraining Approaches for Spoken Language Recognition: TalTech Submission to the OLR 2021 Challengecited by 2
- 2022An Overview of Indian Spoken Language Recognition from Machine Learning Perspectivecited by 2
- 2022Partial Coupling of Optimal Transport for Spoken Language Identificationcited by 0
- 2023Cross-Corpora Spoken Language Identification with Domain Diversification and Generalization10 Feb 2023
- 2022An Overview of Indian Spoken Language Recognition from Machine Learning Perspective30 Nov 2022
- 2022Pretraining Approaches for Spoken Language Recognition: TalTech Submission to the OLR 2021 Challenge14 May 2022
- 2022Transducer-based language embedding for spoken language identification8 Apr 2022
- 2022Partial Coupling of Optimal Transport for Spoken Language Identification31 Mar 2022
- 2021Dynamic Multi-scale Convolution for Dialect Identification2 Aug 2021
- 2021OLR 2021 Challenge: Datasets, Rules and Baselines23 Jul 2021
- 2021Oriental Language Recognition (OLR) 2020: Summary and Analysis5 Jul 2021