“VoxPopuli: A Large-Scale Multilingual Speech Corpus for Representation Learning, Semi-Supervised Learning and Interpretation”, Changhan Wang, Morgane Rivière, Ann Lee, Anne Wu, Chaitanya Talnikar, Daniel Haziza, Mary Williamson, Juan Pino, Emmanuel Dupoux2021-01-02 (; similar)⁠:

We introduce VoxPopuli, a large-scale multilingual corpus providing 100K hours of unlabeled speech data in 23 languages. It is the largest open data to date for unsupervised representation learning as well as semi-supervised learning.

VoxPopuli also contains 1.8K hours of transcribed speeches in 16 languages and their aligned oral interpretations into 5 other languages totaling 5.1K hours.

We provide speech recognition baselines and validate the versatility of VoxPopuli unlabeled data in semi-supervised learning under challenging out-of-domain settings.

We will release the corpus at https://github.com/facebookresearch/voxpopuli under an open license.