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wav2vec Series by Meta
A family of self-supervised learning models for speech recognition, designed to learn powerful speech representations from raw audio with minimal labeled data.
• Includes wav2vec and wav2vec 2.0 models
• Pre-trains on unlabeled audio to enable efficient fine-tuning with limited labeled data
• Achieves state-of-the-art results across speech recognition benchmarks
• Supports multiple languages and dialects
• Adaptable to a variety of downstream speech processing tasks
• Open-source implementation available for research and development
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