archinetai/audio-encoders-pytorch
A collection of audio autoencoders, in PyTorch.
This project provides pre-built neural network components designed to compress and reconstruct audio signals. It takes raw audio data as input and produces either a compressed representation or a reconstructed audio output. This is useful for audio developers and researchers working on advanced audio processing tasks like efficient storage, bandwidth reduction, or generating new audio.
Used by 1 other package. No commits in the last 6 months. Available on PyPI.
Use this if you are a developer or researcher in audio engineering, machine learning, or digital signal processing, looking to integrate autoencoder or discriminator architectures into your PyTorch projects for audio.
Not ideal if you are an end-user seeking a ready-to-use application for audio compression or generation without coding.
Stars
44
Forks
6
Language
Python
License
MIT
Category
Last pushed
Mar 07, 2023
Commits (30d)
0
Dependencies
5
Reverse dependents
1
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