VoxBlink2

Wuhan University, China Mobile's Jiutian AI team, and Duke Kunshan University have jointly released VoxBlink2, an open-source audio and video speaker recognition dataset of more than 110,000 hours based on YouTube data. The dataset contains 9,904,382 high-quality audio clips and their corresponding video clips from 111,284 users on YouTube. It is currently the largest publicly available audio and video speaker recognition dataset. The release of the dataset aims to enrich the open-source speech corpus and support the training of large voiceprint models. The VoxBlink2 dataset is mined through the following steps: Candidate…