https://github.com/bmcfee/resampy
Efficient sample rate conversion in python
https://github.com/bmcfee/resampy
audio dsp nyucds python
Last synced: about 1 year ago
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Efficient sample rate conversion in python
- Host: GitHub
- URL: https://github.com/bmcfee/resampy
- Owner: bmcfee
- License: isc
- Created: 2016-04-08T14:57:42.000Z (about 10 years ago)
- Default Branch: main
- Last Pushed: 2024-09-30T15:36:46.000Z (over 1 year ago)
- Last Synced: 2025-04-06T08:11:13.083Z (about 1 year ago)
- Topics: audio, dsp, nyucds, python
- Language: Python
- Homepage: https://resampy.readthedocs.io
- Size: 6.19 MB
- Stars: 268
- Watchers: 10
- Forks: 37
- Open Issues: 2
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE.md
Awesome Lists containing this project
README
# resampy
[](https://raw.githubusercontent.com/bmcfee/resampy/master/LICENSE)
[](https://pypi.python.org/pypi/resampy)
[](https://anaconda.org/conda-forge/resampy)
[](https://github.com/bmcfee/resampy/actions/workflows/ci.yml)
[](https://codecov.io/gh/bmcfee/resampy)
[](https://resampy.readthedocs.io/en/stable/?badge=stable)
[](https://doi.org/10.5281/zenodo.596633)
Efficient sample rate conversion in Python.
This package implements the band-limited sinc interpolation method for sampling rate conversion as described by:
> Smith, Julius O. Digital Audio Resampling Home Page
> Center for Computer Research in Music and Acoustics (CCRMA),
> Stanford University, 2015-02-23.
> Web published at [http://ccrma.stanford.edu/~jos/resample/](http://ccrma.stanford.edu/~jos/resample/).
# Installation
`resampy` can be installed `pip` by the following command:
```
python -m pip install resampy
```
It can also be installed by `conda` as follows:
```
conda install -c conda-forge resampy
```