Copyright 2012-2020, Eng Eder de Souza
This module provide one Tuner function to AutoTune monophonic sound chunks in Float 32bits. Designed for autotune in realtime microphone or recorded file.
PyAutoTune is one port from the source written by Tom Baran http://tombaran.info/autotalent.html.
This module provide an excellent performance in real time, tested in Linux and Windows!
Python 2.6 or later
One C compiler
NumPy 1.0 or later
For Python <= 2.7 use the ForPy2X codes to install
PyAutoTune is packaged as Python and C source using distutils. To install:
pip install setuptools numpy pyaudio
-
Setuptools - used for compiler
-
Numpy - used for audio arrays
-
pyaudio - play and test code examples
Download and install one compliler, for example you can choose mingw 32 or 64 bits in windows SO:
https://sourceforge.net/projects/mingw/files/latest/download
https://sourceforge.net/projects/mingw-w64/
Create one file distutils.cfg in your python distutils PATH instalation Ex:C:\Python37\Lib\distutils
[build]
compiler=mingw32
[build_ext]
include_dirs= C:\Python37\Lib\site-packages\numpy\core\include
Set the PATH to you mingw and python, ex in CMD.
set PATH=C:\MinGW\bin;C:\Python37;%PATH%
if you installed mingw 64bits point the path correctly
Now you're ready to compile:
python.exe setup.py install
Build docker image: (you can replace autotune with any name)
docker build -t autotune .
Run a container using created image:
--rm removes container when it stopped
-v flag can be used to map Examples folder on host filesystem to Examples folder in the container. You can add audio files on host machine and edit autotune parameters in Examples/TuneAndSaveToFile.py in editor. Output file will also available on host filesystem.
docker run --rm -v $PWD/Examples:/app/Examples -it autotune /bin/sh
Run example:
cd Examples
python TuneAndSaveToFile.py teste.wav out.wav
The package is imported with 'import AutoTune'.
You can find two simple example (real-time and from-file) in the folder examples!