| Name | samplerate JSON |
| Version |
0.2.1
JSON |
| download |
| home_page | |
| Summary | Monolithic python wrapper for libsamplerate based on pybind11 and NumPy |
| upload_time | 2024-01-23 23:52:03 |
| maintainer | |
| docs_url | None |
| author | |
| requires_python | >=3.7 |
| license | MIT |
| keywords |
samplerate
converter
signal processing
audio
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
python-samplerate
=================
.. image:: https://img.shields.io/pypi/v/samplerate.svg
:target: https://pypi.python.org/pypi/samplerate
.. image:: https://img.shields.io/pypi/l/samplerate.svg
:target: https://pypi.python.org/pypi/samplerate
.. image:: https://img.shields.io/pypi/wheel/samplerate.svg
:target: https://pypi.python.org/pypi/samplerate
.. image:: https://img.shields.io/pypi/pyversions/samplerate.svg
:target: https://pypi.python.org/pypi/samplerate
.. image:: https://readthedocs.org/projects/python-samplerate/badge/?version=latest
:target: http://python-samplerate.readthedocs.io/en/latest/?badge=latest
:alt: Documentation Status
This is a wrapper around Erik de Castro Lopo's `libsamplerate`_ (aka Secret
Rabbit Code) for high-quality sample rate conversion.
It implements all three `APIs
<http://www.mega-nerd.com/libsamplerate/api.html>`_ available in
`libsamplerate`_:
* **Simple API**: for resampling a large chunk of data with a single library
call
* **Full API**: for obtaining the resampled signal from successive chunks of
data
* **Callback API**: like Full API, but input samples are provided by a callback
function
The `libsamplerate`_ library is statically built together with the python bindings
using `pybind11 <https://github.com/pybind/pybind11/>`_.
Installation
------------
$ pip install samplerate
Binary wheels of `libsamplerate`_ for macOS and Windows (64 bit) are available.
For other systems, a C++ 14 or above compiler is required to build the package.
Usage
-----
.. code-block:: python
import numpy as np
import samplerate
# Synthesize data
fs = 1000.
t = np.arange(fs * 2) / fs
input_data = np.sin(2 * np.pi * 5 * t)
# Simple API
ratio = 1.5
converter = 'sinc_best' # or 'sinc_fastest', ...
output_data_simple = samplerate.resample(input_data, ratio, converter)
# Full API
resampler = samplerate.Resampler(converter, channels=1)
output_data_full = resampler.process(input_data, ratio, end_of_input=True)
# The result is the same for both APIs.
assert np.allclose(output_data_simple, output_data_full)
# See `samplerate.CallbackResampler` for the Callback API, or
# `examples/play_modulation.py` for an example.
See ``samplerate.resample``, ``samplerate.Resampler``, and
``samplerate.CallbackResampler`` in the API documentation for details.
See also
--------
* `scikits.samplerate <https://pypi.python.org/pypi/scikits.samplerate>`_
implements only the Simple API and uses `Cython <http://cython.org/>`_ for
extern calls. The `resample` function of `scikits.samplerate` and this package
share the same function signature for compatiblity.
* `resampy <https://github.com/bmcfee/resampy>`_: sample rate conversion in
Python + Cython.
License
-------
This project is licensed under the `MIT license
<https://opensource.org/licenses/MIT>`_.
As of version 0.1.9, `libsamplerate`_ is licensed under the `2-clause BSD
license <https://opensource.org/licenses/BSD-2-Clause>`_.
.. _libsamplerate: http://www.mega-nerd.com/libsamplerate/
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