WaveBYOL: Self-Supervised Learning for Audio Representation From Raw Waveforms
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DOI: 10.1109/access.2023.3239660
Abstract: In this paper, we propose the WaveBYOL model, which can learn general-purpose audio representations directly from raw waveforms based on the bootstrap your own latent (BYOL) approach, a Siamese neural network architecture. WaveBYOL does not… read more here.
Keywords: raw waveforms; self supervised; model; learning audio ... See more keywords