LORISTRCK
=========
|sh-downloads| |sh-month|
.. |sh-downloads| image:: https://static.pepy.tech/badge/loristrck
.. |sh-month| image:: https://static.pepy.tech/badge/loristrck/month
`loristrck` is a wrapper for the C++ partial-tracking library Loris.
It is written in cython and targets python 3 (>= 3.8 at the moment).
The source of the library is included as part of the project and
does not need to be installed previously.
Documentation
-------------
https://loristrck.readthedocs.io
---------------
Installation
------------
.. code-block:: bash
pip install loristrck
Install from source in Windows
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
You need to have Visual Studio installed
.. code-block:: bash
# From a Developer Powershell
python scripts/prepare_windows_build.py
# From a normal prompt
pip install .
---------------
Usage
-----
.. code-block:: python
import loristrck as lt
samples, sr = lt.sndreadmono("/path/to/sndfile.wav")
partials = lt.analyze(samples, sr, resolution=60)
# partials is a python list of numpy arrays
# select a subset of most significant partials
selected, noise = lt.select(partials, mindur=0.02, maxfreq=12000, minamp=-60, minbp=2)
# print each partial as data
for partial in selected:
print(partial)
# plot selected partials
lt.plot_partials(selected)
# now resynthesize both parts separately
lt.partials_render(selected, outfile="selected.wav")
lt.partials_render(noise, outfile="noise.wav")
Each partial will be a numpy array of shape = (numbreakpoints, 5)
with the columns::
time, frequency, amplitude, phase, bandwidth
See the example scripts in `bin` for more complete examples
Author
~~~~~~
Eduardo Moguillansky
eduardo dot moguillansky @ gmail dot com
License
~~~~~~~
GPL
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"description": "LORISTRCK\r\n=========\r\n\r\n|sh-downloads| |sh-month|\r\n\r\n.. |sh-downloads| image:: https://static.pepy.tech/badge/loristrck\r\n.. |sh-month| image:: https://static.pepy.tech/badge/loristrck/month\r\n\r\n\r\n`loristrck` is a wrapper for the C++ partial-tracking library Loris.\r\n\r\nIt is written in cython and targets python 3 (>= 3.8 at the moment).\r\nThe source of the library is included as part of the project and\r\ndoes not need to be installed previously.\r\n\r\n\r\nDocumentation\r\n-------------\r\n\r\n\r\nhttps://loristrck.readthedocs.io\r\n\r\n---------------\r\n\r\n\r\nInstallation\r\n------------\r\n\r\n\r\n.. code-block:: bash\r\n\r\n pip install loristrck\r\n\r\n\r\nInstall from source in Windows\r\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\r\n\r\nYou need to have Visual Studio installed\r\n\r\n\r\n.. code-block:: bash\r\n\r\n\r\n # From a Developer Powershell\r\n python scripts/prepare_windows_build.py\r\n\r\n # From a normal prompt\r\n pip install .\r\n\r\n\r\n---------------\r\n\r\n\r\nUsage\r\n-----\r\n\r\n.. code-block:: python\r\n\r\n\r\n import loristrck as lt\r\n\r\n samples, sr = lt.sndreadmono(\"/path/to/sndfile.wav\")\r\n partials = lt.analyze(samples, sr, resolution=60)\r\n # partials is a python list of numpy arrays\r\n # select a subset of most significant partials\r\n selected, noise = lt.select(partials, mindur=0.02, maxfreq=12000, minamp=-60, minbp=2)\r\n # print each partial as data\r\n for partial in selected:\r\n print(partial)\r\n # plot selected partials\r\n lt.plot_partials(selected)\r\n # now resynthesize both parts separately \r\n lt.partials_render(selected, outfile=\"selected.wav\")\r\n lt.partials_render(noise, outfile=\"noise.wav\")\r\n \r\n\r\nEach partial will be a numpy array of shape = (numbreakpoints, 5)\r\nwith the columns::\r\n\r\n time, frequency, amplitude, phase, bandwidth\r\n\r\n\r\nSee the example scripts in `bin` for more complete examples\r\n\r\n\r\nAuthor\r\n~~~~~~\r\n\r\nEduardo Moguillansky\r\n\r\neduardo dot moguillansky @ gmail dot com\r\n\r\n\r\nLicense\r\n~~~~~~~\r\n\r\nGPL\r\n",
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