Autoregressive prediction over discrete cochlear tokens yields a speech representation that beats prior self-supervised models on lexical-semantic similarity and is competitive on SUPERB tasks.
Dissecting neural computations of the human auditory pathway using deep neural networks for speech,
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Representing Speech Through Autoregressive Prediction of Cochlear Tokens
Autoregressive prediction over discrete cochlear tokens yields a speech representation that beats prior self-supervised models on lexical-semantic similarity and is competitive on SUPERB tasks.