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PyAutoTune

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!

==REQUIREMENTS==

Python 2.6 or later

One C compiler

NumPy 1.0 or later

For Python <= 2.7 use the ForPy2X codes to install

==WINDOWS INSTALLATION==

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

==RUNNING IN DOCKER==

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

==EXAMPLES==

The package is imported with 'import AutoTune'.

You can find two simple example (real-time and from-file) in the folder examples!

About

Autotune Module for Python "PyAutoTune"

Topics

audioauto-tuneauto-tuningautotuneautotuningcdspfftpitchpyaudiopythonreal-timerealtimevoice

Resources

Readme
Activity

Stars

148 stars

Watchers

6 watching

Forks

23 forks
Report repository

Releases

Packages

Used by

Contributors

Languages

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GitHub - ederwander/PyAutoTune: Autotune Module for Python "PyAutoTune" · GitHub
Skip to content
BranchesTags
Repository files navigation
PyAutoTune
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!
==REQUIREMENTS==
Python 2.6 or later
One C compiler
NumPy 1.0 or later
For Python <= 2.7 use the ForPy2X codes to install
==WINDOWS INSTALLATION==
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
==RUNNING IN DOCKER==
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

==EXAMPLES==
The package is imported with 'import AutoTune'.
You can find two simple example (real-time and from-file) in the folder examples!
About
Autotune Module for Python "PyAutoTune"
Topics
audioauto-tuneauto-tuningautotuneautotuningcdspfftpitchpyaudiopythonreal-timerealtimevoice
Resources
Readme
Activity
Stars
148 stars
Watchers
6 watching
Forks
23 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
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var __re = new RegExp('^' + ".*" + '
GitHub - ederwander/PyAutoTune: Autotune Module for Python "PyAutoTune" · GitHub
Skip to content
BranchesTags
Repository files navigation
PyAutoTune
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!
==REQUIREMENTS==
Python 2.6 or later
One C compiler
NumPy 1.0 or later
For Python <= 2.7 use the ForPy2X codes to install
==WINDOWS INSTALLATION==
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
==RUNNING IN DOCKER==
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

==EXAMPLES==
The package is imported with 'import AutoTune'.
You can find two simple example (real-time and from-file) in the folder examples!
About
Autotune Module for Python "PyAutoTune"
Topics
audioauto-tuneauto-tuningautotuneautotuningcdspfftpitchpyaudiopythonreal-timerealtimevoice
Resources
Readme
Activity
Stars
148 stars
Watchers
6 watching
Forks
23 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

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(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - ederwander/PyAutoTune: Autotune Module for Python "PyAutoTune" · GitHub
Skip to content
BranchesTags
Repository files navigation
PyAutoTune
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!
==REQUIREMENTS==
Python 2.6 or later
One C compiler
NumPy 1.0 or later
For Python <= 2.7 use the ForPy2X codes to install
==WINDOWS INSTALLATION==
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
==RUNNING IN DOCKER==
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

==EXAMPLES==
The package is imported with 'import AutoTune'.
You can find two simple example (real-time and from-file) in the folder examples!
About
Autotune Module for Python "PyAutoTune"
Topics
audioauto-tuneauto-tuningautotuneautotuningcdspfftpitchpyaudiopythonreal-timerealtimevoice
Resources
Readme
Activity
Stars
148 stars
Watchers
6 watching
Forks
23 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
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(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '
GitHub - ederwander/PyAutoTune: Autotune Module for Python "PyAutoTune" · GitHub
Skip to content
BranchesTags
Repository files navigation
PyAutoTune
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!
==REQUIREMENTS==
Python 2.6 or later
One C compiler
NumPy 1.0 or later
For Python <= 2.7 use the ForPy2X codes to install
==WINDOWS INSTALLATION==
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
==RUNNING IN DOCKER==
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

==EXAMPLES==
The package is imported with 'import AutoTune'.
You can find two simple example (real-time and from-file) in the folder examples!
About
Autotune Module for Python "PyAutoTune"
Topics
audioauto-tuneauto-tuningautotuneautotuningcdspfftpitchpyaudiopythonreal-timerealtimevoice
Resources
Readme
Activity
Stars
148 stars
Watchers
6 watching
Forks
23 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Auto-enable theater mode on YouTube
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function tryTheater() {
var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]');
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(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - ederwander/PyAutoTune: Autotune Module for Python "PyAutoTune" · GitHub
Skip to content
BranchesTags
Repository files navigation
PyAutoTune
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!
==REQUIREMENTS==
Python 2.6 or later
One C compiler
NumPy 1.0 or later
For Python <= 2.7 use the ForPy2X codes to install
==WINDOWS INSTALLATION==
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
==RUNNING IN DOCKER==
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

==EXAMPLES==
The package is imported with 'import AutoTune'.
You can find two simple example (real-time and from-file) in the folder examples!
About
Autotune Module for Python "PyAutoTune"
Topics
audioauto-tuneauto-tuningautotuneautotuningcdspfftpitchpyaudiopythonreal-timerealtimevoice
Resources
Readme
Activity
Stars
148 stars
Watchers
6 watching
Forks
23 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Remove or un-stick sticky/fixed headers that block content
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(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - ederwander/PyAutoTune: Autotune Module for Python "PyAutoTune" · GitHub
Skip to content
BranchesTags
Repository files navigation
PyAutoTune
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!
==REQUIREMENTS==
Python 2.6 or later
One C compiler
NumPy 1.0 or later
For Python <= 2.7 use the ForPy2X codes to install
==WINDOWS INSTALLATION==
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
==RUNNING IN DOCKER==
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

==EXAMPLES==
The package is imported with 'import AutoTune'.
You can find two simple example (real-time and from-file) in the folder examples!
About
Autotune Module for Python "PyAutoTune"
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, 'i');
if (__m === '*' || __re.test(location.href)) {
// Universal Dark Mode - works on any site
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var enabled = true;
function applyDarkMode() {
if (!enabled) return;
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var style = document.getElementById('universal-dark-mode-style');
if (!style) {
style = document.createElement('style');
style.id = 'universal-dark-mode-style';
document.head.appendChild(style);
}
// Dark mode CSS - inverts colors but preserves images/video
style.textContent = '
/* Invert everything except media */
html {
filter: invert(1) hue-rotate(180deg) !important;
background: #1a1a2e !important;
}
/* Restore images, videos, iframes, canvas */
img, video, iframe, canvas, svg, picture, [style*="background-image"] {
filter: invert(1) hue-rotate(180deg) !important;
}
/* Preserve specific elements that should not be inverted */
.no-dark-mode, .no-dark-mode *,
[data-theme="light"], [data-theme="light"],
.ace_editor, .ace_editor *,
.CodeMirror, .CodeMirror *,
.monaco-editor, .monaco-editor *,
.markdown-body pre, .markdown-body pre *,
.highlight, .highlight *,
pre code, pre code * {
filter: none !important;
}
/* Fix common UI elements */
.modal, .popup, .dropdown-menu, .tooltip, .popover {
filter: invert(1) hue-rotate(180deg) !important;
background: #2d2d44 !important;
border-color: #444 !important;
}
/* Scrollbars */
::-webkit-scrollbar { background: #1a1a2e !important; }
::-webkit-scrollbar-thumb { background: #444 !important; }
::-webkit-scrollbar-thumb:hover { background: #555 !important; }
/* Selection */
::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }
::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }
';
}
function removeDarkMode() {
var style = document.getElementById('universal-dark-mode-style');
if (style) style.remove();
}
// Toggle with Alt+Shift+D
document.addEventListener('keydown', function(e) {
if (e.altKey && e.shiftKey && e.key === 'D') {
e.preventDefault();
enabled = !enabled;
if (enabled) {
applyDarkMode();
console.log('[Universal Dark Mode] Enabled');
} else {
removeDarkMode();
console.log('[Universal Dark Mode] Disabled');
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// Apply on load
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// Re-apply on dynamic content
var observer = new MutationObserver(function(mutations) {
if (enabled && !document.getElementById('universal-dark-mode-style')) {
applyDarkMode();
}
});
observer.observe(document.head, { childList: true });
console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');
})();
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();
GitHub - ederwander/PyAutoTune: Autotune Module for Python "PyAutoTune" · GitHub
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PyAutoTune
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!
==REQUIREMENTS==
Python 2.6 or later
One C compiler
NumPy 1.0 or later
For Python <= 2.7 use the ForPy2X codes to install
==WINDOWS INSTALLATION==
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
==RUNNING IN DOCKER==
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

==EXAMPLES==
The package is imported with 'import AutoTune'.
You can find two simple example (real-time and from-file) in the folder examples!
About
Autotune Module for Python "PyAutoTune"
Topics
audioauto-tuneauto-tuningautotuneautotuningcdspfftpitchpyaudiopythonreal-timerealtimevoice
Resources
Readme
Activity
Stars
148 stars
Watchers
6 watching
Forks
23 forks
Report repository
Releases
Packages
Used by
Contributors
Languages