# VoxPopuli corpus

A foundational speech recognition model pretrained on 10,000 hours of unlabeled data from the VoxPopuli corpus, supporting multilingual speech processing

Speech model based on Facebook's Wav2Vec2 architecture, pre-trained on the Croatian VoxPopuli corpus

Wav2Vec2 speech recognition base model pre-trained on unlabeled Spanish data from VoxPopuli

Wav2Vec2 base model pretrained on Portuguese VoxPopuli corpus, suitable for speech recognition tasks

A Wav2Vec2 base model pretrained on the Swedish subset of the VoxPopuli corpus, suitable for Swedish speech recognition tasks.

Wav2Vec2 base model pretrained on Slovak data from the VoxPopuli corpus, suitable for speech recognition tasks.

A speech model based on Facebook's Wav2Vec2 framework, specifically pretrained for Estonian

Wav2Vec2 base model pretrained on the VoxPopuli corpus, specialized for Czech speech processing

A speech model based on Facebook's Wav2Vec2 architecture, specifically pre-trained for Danish using 13.6k unlabeled data from the VoxPopuli corpus.

Wav2Vec2 base model pretrained on unlabeled Italian data from VoxPopuli, suitable for speech recognition tasks.

A speech model based on Facebook's Wav2Vec2 architecture, specifically pretrained for Bulgarian language, suitable for speech recognition tasks.

Facebook's Wav2Vec2 base model, pre-trained exclusively on French using 22.8k unlabeled data from the VoxPopuli corpus.

Wav2Vec2 base model pre-trained on unannotated French data from VoxPopuli, suitable for French speech recognition tasks

A speech recognition base model pretrained on 100,000 hours of unannotated data from the VoxPopuli corpus

A speech recognition model pre-trained on 100,000 hours of unlabeled data from the VoxPopuli corpus, supporting multilingual speech representation learning

Facebook's Wav2Vec2 large model, pretrained exclusively on 66.3 hours of unlabeled data from the West Germanic VoxPopuli corpus.

Greek speech recognition model pretrained on VoxPopuli corpus using 17.7 hours of unlabeled data