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Datasets containing English-language audio and corresponding text transcripts for speech model development.
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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
Provides access to extensive English-language speech corpora for training or evaluating models to achieve specialized domain performance.
Python
