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Awesome GitHub RepositoriesWeakly Supervised Learning
Systems designed to train models using large-scale, noisy, or partially labeled datasets to improve generalization.
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- openai/whisper
This project is a speech recognition and translation engine that utilizes a sequence-to-sequence transformer architecture to convert audio into text. It is built upon a weakly supervised learning framework, which leverages large-scale, unlabelled audio-transcript data to create generalized speech representations capabl
Trains generalized speech representation models by leveraging massive volumes of weakly labeled audio-transcript pairs.
Python
