VoxCeleb: Large-scale Speaker Verification in the Wild

•We introduce the VoxCeleb dataset, the largest audio-visual dataset for speaker recognition containing over a million real world utterances from over 6000 speakers.•We develop a completely scalable, computer vision based pipeline to automatically create this dataset from open-source media.•We demonstrate that deep ResNet architectures trained on large datasets with NetVlad as an aggregation strategy achieve state of the art performance.