Introduction¶
resampy is a python module for efficient time-series resampling. It is based on the band-limited sinc interpolation method for sampling rate conversion as described by 1.
- 1
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/.
resampy supports multi-dimensional resampling on numpy arrays, and is well-suited to audio applications. For long-duration signals — e.g., minutes at a high-quality sampling rate — resampy will be considerably faster than scipy.signal.resample and have little perceivable difference in audio quality.
Its dependencies are numpy, scipy, and numba.
For a quick introduction to using resampy, please refer to the Examples section.
Installation¶
resampy can be installed through pip:
python -m pip install resampy
Conda users can install via the following command:
conda install -c conda-forge resampy
Advanced users and developers may wish to install from source by cloning the source repository:
git clone https://github.com/bmcfee/resampy.git
cd resampy
python -m pip install -e .
Running tests¶
Developers that wish to run the included unit test suite can do so by installing from source, and then executing the following commands from the source directory:
python -m pip install -e .[tests]
pytest --cov-report term-missing --cov resampy