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Wav2vec2 Large West Germanic Voxpopuli V2
Facebook's Wav2Vec2 large model, pretrained exclusively on 66.3 hours of unlabeled data from the West Germanic VoxPopuli corpus.
Downloads 25
Release Time : 3/2/2022
Model Overview
This model is a speech processing model based on the Wav2Vec2 architecture, primarily used for speech recognition tasks and supports West Germanic languages.
Model Features
Large-scale pretraining
The model is pretrained on 66.3 hours of unlabeled speech data from West Germanic languages, exhibiting strong speech representation capabilities.
16kHz sampling rate support
The model is pretrained on 16kHz sampled speech audio; ensure input speech is also sampled at 16kHz when using.
Multilingual support
The model supports West Germanic languages and is suitable for multilingual speech recognition tasks.
Model Capabilities
Speech recognition
Speech representation learning
Use Cases
Speech recognition
West Germanic speech-to-text
Convert West Germanic speech into text, suitable for applications like voice assistants and subtitle generation.
Speech research
Speech representation learning
Used for speech representation learning research, extracting speech features for downstream tasks.
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