WaveBYOL: Self-Supervised Learning for Audio Representation From Raw Waveforms
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 extract features in a handcrafted manner, and the model lea...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2023-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10025708/ |