rishikksh20/AudioMAE-pytorch
Unofficial PyTorch implementation of Masked Autoencoders that Listen
This is a PyTorch implementation of a Masked Autoencoder for audio. It takes audio spectrograms as input and learns to reconstruct them even after a large portion has been masked, producing a reconstructed spectrogram. It's intended for machine learning researchers and audio engineers working on self-supervised learning for audio.
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Use this if you are a machine learning researcher or audio engineer looking to apply self-supervised learning techniques to audio data for tasks like speech recognition, sound event detection, or music analysis.
Not ideal if you need an out-of-the-box solution for audio processing or if you are not comfortable working with raw PyTorch models for deep learning research.
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Language
Python
License
MIT
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Last pushed
Aug 08, 2022
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