PyTorch implemention of part of librosa functions.
Project description
Pytorch implementation of Fourier transform of librosa library.
This codebase implemented discrete Fourier Transform (DFT), inverse DFT as neural network layers in pytorch and can be calculated on GPU. Users can extract log mel spectrogram on GPU. The results are the same as obtained using librosa. The code is developed using pytorch 1.0.
Usage
Running examples:
python stft.py
Summary
This code provides Fourier transform related functions which can be calculated on GPU using pytorch.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
torchlibrosa-0.0.2.tar.gz
(7.3 kB
view hashes)
Built Distribution
Close
Hashes for torchlibrosa-0.0.2-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 31b1e1c0e9881fc78d3f3c8af38d0d14203131af09bb473c758976b7a071eb69 |
|
MD5 | 6b8cdec9fb0cc928167122fbc0a92d8d |
|
BLAKE2b-256 | 79c7328f0d2da8d0c1c0f31375b71966b1eda0d5b2039df05cb0a0b374418298 |