Omkar2118/datasets huggingface dataset:
VoxCeleb2
Full name: VoxCeleb2

**VoxCeleb2** is a large scale speaker recognition dataset obtained automatically from open-source media. VoxCeleb2 consists of over a million utterances from over 6k speakers. Since the dataset is collected ‘in the wild’, the speech segments are corrupted with real world noise including laughter, cross-talk, channel effects, music and other sounds. The dataset is also multilingual, with speech from speakers of 145 different nationalities, covering a wide range of accents, ages, ethnicities and languages. The dataset is audio-visual, so is also useful for a number of other applications, for example – visual speech synthesis, speech separation, cross-modal transfer from face to voice or vice versa and training face recognition from video to complement existing face recognition datasets.

Source: [VoxCeleb2: Deep Speaker Recognition](https://arxiv.org/pdf/1806.05622v2.pdf)
Image Source: [https://www.robots.ox.ac.uk/~vgg/data/voxceleb/](https://www.robots.ox.ac.uk/~vgg/data/voxceleb/)

Introducing paper: VoxCeleb2: Deep Speaker Recognition