# AP16-OL7: A Multilingual Database for Oriental Languages and A Language Recognition Baseline

arXiv: https://arxiv.org/abs/1609.08445 · HTML: https://mlsanity.com/paper/1609.08445/

## Key facts

- Cited by 7 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 27 Sep 2016.

## Built on by (most cited first, 7 of 7)

- [OLR 2021 Challenge: Datasets, Rules and Baselines](https://mlsanity.com/paper/2107.11113/) (2021)
- [Oriental Language Recognition (OLR) 2020: Summary and Analysis](https://mlsanity.com/paper/2107.05365/) (2021)
- [Dynamic Multi-scale Convolution for Dialect Identification](https://mlsanity.com/paper/2108.07787/) (2021)
- [Pretraining Approaches for Spoken Language Recognition: TalTech Submission to the OLR 2021 Challenge](https://mlsanity.com/paper/2205.07083/) (2022)
- [An Overview of Indian Spoken Language Recognition from Machine Learning Perspective](https://mlsanity.com/paper/2212.03812/) (2022)
- [A Discriminative Hierarchical PLDA-based Model for Spoken Language Recognition](https://mlsanity.com/paper/2201.01364/) (2022)
- [Speech-Driven End-to-End Language Discrimination towards Chinese Dialects](https://mlsanity.com/paper/2606.18584/) (2026)

## Abstract (arXiv)

We present the AP16-OL7 database which was released as the training and test data for the oriental language recognition (OLR) challenge on APSIPA 2016. Based on the database, a baseline system was constructed on the basis of the i-vector model. We report the baseline results evaluated in various metrics defined by the AP16-OLR evaluation plan and demonstrate that AP16-OL7 is a reasonable data resource for multilingual research.