Alexei Baevski
3 papers · Latest:
The Llama 3 Herd of Models
Llama 3 is a new family of large multilingual foundation models excelling in language, coding, reasoning, and multimodal tasks, rivaling GPT-4 in quality and offering extensive public releases.
wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations
wav2vec 2.0 introduces a self-supervised learning framework for speech that achieves state-of-the-art recognition performance with significantly less labeled data by leveraging contrastive learning on masked latent speech representations.
wav2vec: Unsupervised Pre-training for Speech Recognition
wav2vec introduces an unsupervised pre-training method for speech recognition that learns audio representations from raw data, significantly improving performance with limited labeled data.
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