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 .
|||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.
For a quick introduction to using resampy, please refer to the Examples section.
resampy can be installed from source through pip:
pip install resampy
Conda users can install pre-compiled packages:
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 setup.py build_ext -i pip install -e .
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:
pip install -e .[tests] pip install pytest pytest-cov pytest-faulthandler py.test --cov-report term-missing --cov resampy
.. toctree:: :maxdepth: 3 example
.. toctree:: :maxdepth: 2 api
.. toctree:: :maxdepth: 2 changes