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--- |
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license: apache-2.0 |
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language: |
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- en |
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tags: |
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- speech separation |
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size_categories: |
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- 100M<n<1B |
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--- |
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The VoxCeleb2 dataset contains over one million sentences from 6,112 individuals |
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extracted from YouTube videos, divided into Dev and Test folders. We used the same dataset consistent with previous works |
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(Li et al., 2022; Gao & Grauman, 2021; Lee et al., 2021), constructed by selecting 5% of the data from the Dev folder of |
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VoxCeleb2 for creating training and validation sets. Similar to LRS2, VoxCeleb2 also contains a significant amount of noise |
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and reverberation, making it closer to real-world scenarios, but the acoustic environment of VoxCeleb2 is more complex and |
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challenging. It comprises 56-hour training, 3-hour validation, and 1.5-hour test sets. |
