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Wav2vec2 Base Da Voxpopuli V2
A speech model based on Facebook's Wav2Vec2 architecture, specifically pre-trained for Danish using 13.6k unlabeled data from the VoxPopuli corpus.
Downloads 35
Release Time : 3/2/2022
Model Overview
This is a foundational speech model that learns speech representations from raw audio through self-supervised learning, suitable for Danish speech recognition tasks.
Model Features
Danish-specific
Pre-trained specifically for Danish, optimizing speech feature extraction capabilities for the Danish language.
Self-supervised learning
Utilizes Wav2Vec2's self-supervised learning method to learn effective representations from unlabeled speech data.
16kHz audio support
The model is pre-trained on 16kHz sampled speech audio, so input audio must match this sampling rate.
Model Capabilities
Speech representation learning
Danish speech feature extraction
Use Cases
Speech technology
Danish speech recognition system
After fine-tuning on labeled Danish data, it can be used to build a Danish speech recognition system.
Speech feature extraction
Can be used as a feature extractor for other Danish speech processing tasks.
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