# Python-SoXR
[](https://github.com/dofuuz/python-soxr) [](https://pypi.org/project/soxr/) [](https://python-soxr.readthedocs.io)
High quality, one-dimensional sample-rate conversion library for Python.
- Homepage: https://github.com/dofuuz/python-soxr
- Documentation: https://python-soxr.readthedocs.io
- PyPI: https://pypi.org/project/soxr/
Python-SoXR is a Python wrapper of [libsoxr](https://sourceforge.net/projects/soxr/).
## Installation
```
pip install soxr
```
If installation fails, upgrade pip with `python -m pip install --upgrade pip` and try again.
## Basic usage
```python
import soxr
y = soxr.resample(
x, # 1D(mono) or 2D(frames, channels) array input
48000, # input samplerate
16000 # target samplerate
)
```
If input is not `numpy.ndarray`, it will be converted to `numpy.ndarray(dtype='float32')`.
dtype should be one of float32, float64, int16, int32.
Output is `numpy.ndarray` with same dimension and data type of input.
## Streaming usage
Use `ResampleStream` for real-time processing or very long signal.
```python
import soxr
rs = soxr.ResampleStream(
44100, # input samplerate
16000, # target samplerate
1, # channel(s)
dtype='float32' # data type (default = 'float32')
)
eof = False
while not eof:
# Get chunk
...
y_chunk = rs.resample_chunk(
x, # 1D(mono) or 2D(frames, channels) array input
last=eof # Set True at end of input
)
```
Output frame count may not be consistent. This is normal operation.
(ex. [0, 0, 0, 186, 186, 166, 186, 186, 168, ...])
## Requirement
x86 and ARM processors are supported.
Neon extension is required for ARM CPUs. Without Neon, it may crash or return inaccurate result.
## Benchmark
Sweep, impulse, speed compairsion with other Python resamplers.
https://colab.research.google.com/drive/1XgSOvWlRIau1FYwQG_yRSAhDK3KB8bEL?usp=sharing
### Speed comparison summary
Downsampling 10 sec of 48000 Hz to 44100 Hz.
Ran on Google Colab.
Library | Time on CPU (ms)
------------------------ | ----------------
soxr (HQ) | 7.2
scipy.signal.resample | 13.4
soxr (VHQ) | 15.8
torchaudio | 19.2
lilfilter | 21.4
julius | 23.1
resampy (kaiser_fast) | 62.6
samplerate (sinc_medium) | 92.5
resampy (kaiser_best) | 256
samplerate (sinc_best) | 397
## Technical detail
For technical details behind resampler, see libsoxr docs.
- https://sourceforge.net/p/soxr/wiki/Home/
- http://sox.sourceforge.net/SoX/Resampling
- https://sourceforge.net/p/soxr/code/ci/master/tree/src/soxr.h
## Credit and License
Python-SoXR is LGPL v2.1+ licensed, following libsoxr's license.
### OSS libraries used
#### libsoxr (LGPLv2.1+)
The SoX Resampler library
https://sourceforge.net/projects/soxr/
Python-SoXR is a Python wrapper of libsoxr.
#### PFFFT (BSD-like)
PFFFT: a pretty fast FFT.
https://bitbucket.org/jpommier/pffft/
libsoxr dependency.
Raw data
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"description": "# Python-SoXR\n\n[](https://github.com/dofuuz/python-soxr) [](https://pypi.org/project/soxr/) [](https://python-soxr.readthedocs.io)\n\nHigh quality, one-dimensional sample-rate conversion library for Python.\n\n- Homepage: https://github.com/dofuuz/python-soxr\n- Documentation: https://python-soxr.readthedocs.io\n- PyPI: https://pypi.org/project/soxr/\n\nPython-SoXR is a Python wrapper of [libsoxr](https://sourceforge.net/projects/soxr/).\n\n\n## Installation\n\n```\npip install soxr\n```\n\nIf installation fails, upgrade pip with `python -m pip install --upgrade pip` and try again.\n\n\n## Basic usage\n\n```python\nimport soxr\n\ny = soxr.resample(\n x, # 1D(mono) or 2D(frames, channels) array input\n 48000, # input samplerate\n 16000 # target samplerate\n)\n```\nIf input is not `numpy.ndarray`, it will be converted to `numpy.ndarray(dtype='float32')`. \ndtype should be one of float32, float64, int16, int32.\n\nOutput is `numpy.ndarray` with same dimension and data type of input.\n\n\n## Streaming usage\n\nUse `ResampleStream` for real-time processing or very long signal.\n\n```python\nimport soxr\n\nrs = soxr.ResampleStream(\n 44100, # input samplerate\n 16000, # target samplerate\n 1, # channel(s)\n dtype='float32' # data type (default = 'float32')\n)\n\neof = False\nwhile not eof:\n # Get chunk\n ...\n\n y_chunk = rs.resample_chunk(\n x, # 1D(mono) or 2D(frames, channels) array input\n last=eof # Set True at end of input\n )\n```\n\nOutput frame count may not be consistent. This is normal operation. \n(ex. [0, 0, 0, 186, 186, 166, 186, 186, 168, ...])\n\n\n## Requirement\n\nx86 and ARM processors are supported.\n\nNeon extension is required for ARM CPUs. Without Neon, it may crash or return inaccurate result.\n\n\n## Benchmark\n\nSweep, impulse, speed compairsion with other Python resamplers.\n\nhttps://colab.research.google.com/drive/1XgSOvWlRIau1FYwQG_yRSAhDK3KB8bEL?usp=sharing\n\n\n### Speed comparison summary\n\nDownsampling 10 sec of 48000 Hz to 44100 Hz. \nRan on Google Colab.\n\nLibrary | Time on CPU (ms)\n------------------------ | ----------------\nsoxr (HQ) | 7.2\nscipy.signal.resample | 13.4\nsoxr (VHQ) | 15.8\ntorchaudio | 19.2\nlilfilter | 21.4\njulius | 23.1\nresampy (kaiser_fast) | 62.6\nsamplerate (sinc_medium) | 92.5\nresampy (kaiser_best) | 256\nsamplerate (sinc_best) | 397\n\n\n## Technical detail\n\nFor technical details behind resampler, see libsoxr docs.\n- https://sourceforge.net/p/soxr/wiki/Home/\n- http://sox.sourceforge.net/SoX/Resampling\n- https://sourceforge.net/p/soxr/code/ci/master/tree/src/soxr.h\n\n\n## Credit and License\n\nPython-SoXR is LGPL v2.1+ licensed, following libsoxr's license.\n\n### OSS libraries used\n\n#### libsoxr (LGPLv2.1+)\nThe SoX Resampler library \nhttps://sourceforge.net/projects/soxr/\n\nPython-SoXR is a Python wrapper of libsoxr.\n\n#### PFFFT (BSD-like)\nPFFFT: a pretty fast FFT. \nhttps://bitbucket.org/jpommier/pffft/ \n\nlibsoxr dependency.\n",
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