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wav2vec2-base-en-voxpopuli-v2
facebook/wav2vec2-base-en-voxpopuli-v2
wav2vec2-base-en-voxpopuli-v2 is a automatic speech recognition model from facebook. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as cc-by-nc-4.0.
Facebook's Wav2Vec2 base model pretrained only in en on 24.1k unlabeled datat of the VoxPopuli corpus.
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- cc-by-nc-4.0
- Model type
- wav2vec2
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Feb 27, 2022
- SHA
- f464d59d
Datasets
Model card
From the Hugging Face model README
Wav2Vec2-base-VoxPopuli-V2
Facebook's Wav2Vec2 base model pretrained only in en on 24.1k unlabeled datat of the VoxPopuli corpus.
The model is pretrained on 16kHz sampled speech audio. When using the model make sure that your speech input is also sampled at 16Khz.
Note: This model does not have a tokenizer as it was pretrained on audio alone. In order to use this model for speech recognition, a tokenizer should be created and the model should be fine-tuned on labeled text data in en. Check out this blog for a more in-detail explanation of how to fine-tune the model.
Authors: Changhan Wang, Morgane Riviere, Ann Lee, Anne Wu, Chaitanya Talnikar, Daniel Haziza, Mary Williamson, Juan Pino, Emmanuel Dupoux from Facebook AI.
See the official website for more information, here.
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- cc-by-nc-4.0
- Languages
- en
- Created
- Mar 2, 2022
- Updated
- Feb 27, 2022