Datasets:
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README.md
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@@ -46,7 +46,16 @@ The dataset contains three subsets:
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- train_small: `VoxVietnam-T-small`, sampled from VoxVietnam-T to have the same size as Vietnam-Celeb (879 speakers, 83,000 samples).
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- The `VoxVietnam-T-noisy` in the paper is not uploaded since it is not clean for supervised training, just for ablation studies in the paper only.
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*[Update 29 Mar, 2025]* The VoxVietnam-E and VoxVietnam-H are labelled by volunteers without visual information. Our team released another independent test set, called `VoxVietnam-O`, verified by us by listening and watching the video segments for the highest accuracy. The speakers in `VoxVietnam-O` are sampled from the `test` partition. You can download the data and test list for `VoxVietnam-O` [here](https://drive.google.com/drive/folders/1k8CZcxXXygu1YzaIDPceV38ngdlKMEO6?usp=sharing). __We encourage researchers to use VoxVietnam-O for evaluation.__
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*[Update 03 Jan, 2025]* Our paper has been accepted to ICASSP 2025! The preprint is available at: https://arxiv.org/abs/2501.00328.
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- train_small: `VoxVietnam-T-small`, sampled from VoxVietnam-T to have the same size as Vietnam-Celeb (879 speakers, 83,000 samples).
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- The `VoxVietnam-T-noisy` in the paper is not uploaded since it is not clean for supervised training, just for ablation studies in the paper only.
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*[Update 29 Mar, 2025]* The VoxVietnam-E and VoxVietnam-H are labelled by volunteers without visual information. Our team released another independent test set, called `VoxVietnam-O`, verified by us by listening and watching the video segments for the highest accuracy. The speakers in `VoxVietnam-O` are sampled from the `test` partition. You can download the data and test list for `VoxVietnam-O` [here](https://drive.google.com/drive/folders/1k8CZcxXXygu1YzaIDPceV38ngdlKMEO6?usp=sharing). __We encourage researchers to use VoxVietnam-O for evaluation.__
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Here are the results on VoxVietnam-O for reference. We use [Ruijie Tao's](https://github.com/TaoRuijie/ECAPA-TDNN/) implementation of ECAPA-TDNN:
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| Train | EER (%) | minDCF (%) |
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|--------------------------------|---------|------------|
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| VoxVietnam-T | 3.03 | 0.4781 |
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| Vietnam-Celeb-T | 3.25 | 0.5376 |
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| VoxVietnam-T-small | 3.96 | 0.5273 |
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| VoxVietnam-T-noisy | 6.91 | 0.6813 |
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| Vietnam-Celeb-T + VoxVietnam-T | 3.34 | 0.5286 |
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*[Update 03 Jan, 2025]* Our paper has been accepted to ICASSP 2025! The preprint is available at: https://arxiv.org/abs/2501.00328.
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