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SpectroGen

This generates spectrogram from images. Sound spectrogram are a type of graph used in sound engineering to represent the "signature" of a sound.

They are the representation of the frequencies heard by unit of time. The frequency strengh is denoted by the colour of the graph at that point. Therefore, it is possible to generates a soundwave such that its spectrogram would represent an images. This is the aim of this project. Example of normal sound spectrogram:

I did two versions:

The original version

This one in Python 3. It takes as input an image, an output location and its duration and outputs a WAV file containing the soundwave which spectrogram matches the image.

It can be used as follow:

python3 spectrogen.py image.png sound.wav

for a 5 second sound.wav file which spectrogram represents image.png.
image.png can be of any size and can be partially transparent.
There's more customisation you can do onto the outputted file, just type python3 spectrogen.py -h to see every options and what they do.

The sound.wav file is outputted in 16bit WAV file with a sample rate of 44100. The frequencies on which the image is encoded span from 0 to 22000 Hz as that's the maximum frequency that my version of Audacity allows me to see.

The program makes use of :

  • Numpy for matrix handling
  • Sympy for resampling the image
  • PIL for importing the said image
  • argparse for allowing you to pass arguments to the program with nice flags (-h, -c, etc...)
  • wave, struct and math which are just native python3 libraries (I think)

They can all be installed with:

pip3 install numpy sympy Pillow argparse

The funnier version

This other version is entierly re-written in Javascript, HTML and CSS and can run offline by simply loading the index.html file in your favourite browser (tested on Firefox Quantum). This version makes use of the HTML5 canvas feature to allow you to draw you spectrogram on a canvas, then press "Play" to play it or "Save" to download it. The colour has no effect on the produced music but it's pretty so I added it anyway.

The downloaded file can be rendered in Audacity as a spectrogram and on it will appear the drawing you did on the HTML5 canvas.

I will very soon publish a live version of this on my website for internet people (you) to fiddle with.It's live but still WIP

All this project is opensource, if you use the sources please credit me that'd be nice of you. Contact me if you want to collaborate. Cheerio !

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Generates spectrogram from images

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
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})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

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SpectroGen
This generates spectrogram from images.
Sound spectrogram are a type of graph used in sound engineering to represent the "signature" of a sound.
They are the representation of the frequencies heard by unit of time. The frequency strengh is denoted by the colour of the graph at that point.
Therefore, it is possible to generates a soundwave such that its spectrogram would represent an images. This is the aim of this project.
Example of normal sound spectrogram:
I did two versions:
The original version
This one in Python 3. It takes as input an image, an output location and its duration and outputs a
WAV file containing the soundwave which spectrogram matches the image.
It can be used as follow:
python3 spectrogen.py image.png sound.wav

for a 5 second sound.wav file which spectrogram represents image.png.
image.png can be of any size and can be partially transparent. 

There's more customisation you can do onto the outputted file, just type python3 spectrogen.py -h to see every options and what they do.
The sound.wav file is outputted in 16bit WAV file with a sample rate of 44100.
The frequencies on which the image is encoded span from 0 to 22000 Hz as that's the maximum frequency that my version of Audacity allows me to see.
The program makes use of :
  • Numpy for matrix handling
  • Sympy for resampling the image
  • PIL for importing the said image
  • argparse for allowing you to pass arguments to the program with nice flags (-h, -c, etc...)
  • wave, struct and math which are just native python3 libraries (I think)
They can all be installed with:
pip3 install numpy sympy Pillow argparse

The funnier version
This other version is entierly re-written in Javascript, HTML and CSS and can run offline by simply loading the index.html file in your favourite browser (tested on Firefox Quantum).
This version makes use of the HTML5 canvas feature to allow you to draw you spectrogram on a canvas, then press "Play" to play it or "Save" to download it. The colour has no effect
on the produced music but it's pretty so I added it anyway.
The downloaded file can be rendered in Audacity as a spectrogram and on it will appear the drawing you did on the HTML5 canvas.
I will very soon publish a live version of this on my website for internet people (you) to fiddle with.It's live but still WIP
All this project is opensource, if you use the sources please credit me that'd be nice of you.
Contact me if you want to collaborate. Cheerio !
About
Generates spectrogram from images
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Readme
GPL-3.0 license
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13 stars
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3 watching
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4 forks
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, 'i');
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})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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SpectroGen
This generates spectrogram from images.
Sound spectrogram are a type of graph used in sound engineering to represent the "signature" of a sound.
They are the representation of the frequencies heard by unit of time. The frequency strengh is denoted by the colour of the graph at that point.
Therefore, it is possible to generates a soundwave such that its spectrogram would represent an images. This is the aim of this project.
Example of normal sound spectrogram:
I did two versions:
The original version
This one in Python 3. It takes as input an image, an output location and its duration and outputs a
WAV file containing the soundwave which spectrogram matches the image.
It can be used as follow:
python3 spectrogen.py image.png sound.wav

for a 5 second sound.wav file which spectrogram represents image.png.
image.png can be of any size and can be partially transparent. 

There's more customisation you can do onto the outputted file, just type python3 spectrogen.py -h to see every options and what they do.
The sound.wav file is outputted in 16bit WAV file with a sample rate of 44100.
The frequencies on which the image is encoded span from 0 to 22000 Hz as that's the maximum frequency that my version of Audacity allows me to see.
The program makes use of :
  • Numpy for matrix handling
  • Sympy for resampling the image
  • PIL for importing the said image
  • argparse for allowing you to pass arguments to the program with nice flags (-h, -c, etc...)
  • wave, struct and math which are just native python3 libraries (I think)
They can all be installed with:
pip3 install numpy sympy Pillow argparse

The funnier version
This other version is entierly re-written in Javascript, HTML and CSS and can run offline by simply loading the index.html file in your favourite browser (tested on Firefox Quantum).
This version makes use of the HTML5 canvas feature to allow you to draw you spectrogram on a canvas, then press "Play" to play it or "Save" to download it. The colour has no effect
on the produced music but it's pretty so I added it anyway.
The downloaded file can be rendered in Audacity as a spectrogram and on it will appear the drawing you did on the HTML5 canvas.
I will very soon publish a live version of this on my website for internet people (you) to fiddle with.It's live but still WIP
All this project is opensource, if you use the sources please credit me that'd be nice of you.
Contact me if you want to collaborate. Cheerio !
About
Generates spectrogram from images
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Readme
GPL-3.0 license
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13 stars
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3 watching
Forks
4 forks
Report repository
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, 'i');
if (__m === '*' || __re.test(location.href)) {
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} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
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SpectroGen
This generates spectrogram from images.
Sound spectrogram are a type of graph used in sound engineering to represent the "signature" of a sound.
They are the representation of the frequencies heard by unit of time. The frequency strengh is denoted by the colour of the graph at that point.
Therefore, it is possible to generates a soundwave such that its spectrogram would represent an images. This is the aim of this project.
Example of normal sound spectrogram:
I did two versions:
The original version
This one in Python 3. It takes as input an image, an output location and its duration and outputs a
WAV file containing the soundwave which spectrogram matches the image.
It can be used as follow:
python3 spectrogen.py image.png sound.wav

for a 5 second sound.wav file which spectrogram represents image.png.
image.png can be of any size and can be partially transparent. 

There's more customisation you can do onto the outputted file, just type python3 spectrogen.py -h to see every options and what they do.
The sound.wav file is outputted in 16bit WAV file with a sample rate of 44100.
The frequencies on which the image is encoded span from 0 to 22000 Hz as that's the maximum frequency that my version of Audacity allows me to see.
The program makes use of :
  • Numpy for matrix handling
  • Sympy for resampling the image
  • PIL for importing the said image
  • argparse for allowing you to pass arguments to the program with nice flags (-h, -c, etc...)
  • wave, struct and math which are just native python3 libraries (I think)
They can all be installed with:
pip3 install numpy sympy Pillow argparse

The funnier version
This other version is entierly re-written in Javascript, HTML and CSS and can run offline by simply loading the index.html file in your favourite browser (tested on Firefox Quantum).
This version makes use of the HTML5 canvas feature to allow you to draw you spectrogram on a canvas, then press "Play" to play it or "Save" to download it. The colour has no effect
on the produced music but it's pretty so I added it anyway.
The downloaded file can be rendered in Audacity as a spectrogram and on it will appear the drawing you did on the HTML5 canvas.
I will very soon publish a live version of this on my website for internet people (you) to fiddle with.It's live but still WIP
All this project is opensource, if you use the sources please credit me that'd be nice of you.
Contact me if you want to collaborate. Cheerio !
About
Generates spectrogram from images
Resources
Readme
GPL-3.0 license
Activity
Stars
13 stars
Watchers
3 watching
Forks
4 forks
Report repository
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Contributors
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
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})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

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SpectroGen
This generates spectrogram from images.
Sound spectrogram are a type of graph used in sound engineering to represent the "signature" of a sound.
They are the representation of the frequencies heard by unit of time. The frequency strengh is denoted by the colour of the graph at that point.
Therefore, it is possible to generates a soundwave such that its spectrogram would represent an images. This is the aim of this project.
Example of normal sound spectrogram:
I did two versions:
The original version
This one in Python 3. It takes as input an image, an output location and its duration and outputs a
WAV file containing the soundwave which spectrogram matches the image.
It can be used as follow:
python3 spectrogen.py image.png sound.wav

for a 5 second sound.wav file which spectrogram represents image.png.
image.png can be of any size and can be partially transparent. 

There's more customisation you can do onto the outputted file, just type python3 spectrogen.py -h to see every options and what they do.
The sound.wav file is outputted in 16bit WAV file with a sample rate of 44100.
The frequencies on which the image is encoded span from 0 to 22000 Hz as that's the maximum frequency that my version of Audacity allows me to see.
The program makes use of :
  • Numpy for matrix handling
  • Sympy for resampling the image
  • PIL for importing the said image
  • argparse for allowing you to pass arguments to the program with nice flags (-h, -c, etc...)
  • wave, struct and math which are just native python3 libraries (I think)
They can all be installed with:
pip3 install numpy sympy Pillow argparse

The funnier version
This other version is entierly re-written in Javascript, HTML and CSS and can run offline by simply loading the index.html file in your favourite browser (tested on Firefox Quantum).
This version makes use of the HTML5 canvas feature to allow you to draw you spectrogram on a canvas, then press "Play" to play it or "Save" to download it. The colour has no effect
on the produced music but it's pretty so I added it anyway.
The downloaded file can be rendered in Audacity as a spectrogram and on it will appear the drawing you did on the HTML5 canvas.
I will very soon publish a live version of this on my website for internet people (you) to fiddle with.It's live but still WIP
All this project is opensource, if you use the sources please credit me that'd be nice of you.
Contact me if you want to collaborate. Cheerio !
About
Generates spectrogram from images
Resources
Readme
GPL-3.0 license
Activity
Stars
13 stars
Watchers
3 watching
Forks
4 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
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} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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SpectroGen
This generates spectrogram from images.
Sound spectrogram are a type of graph used in sound engineering to represent the "signature" of a sound.
They are the representation of the frequencies heard by unit of time. The frequency strengh is denoted by the colour of the graph at that point.
Therefore, it is possible to generates a soundwave such that its spectrogram would represent an images. This is the aim of this project.
Example of normal sound spectrogram:
I did two versions:
The original version
This one in Python 3. It takes as input an image, an output location and its duration and outputs a
WAV file containing the soundwave which spectrogram matches the image.
It can be used as follow:
python3 spectrogen.py image.png sound.wav

for a 5 second sound.wav file which spectrogram represents image.png.
image.png can be of any size and can be partially transparent. 

There's more customisation you can do onto the outputted file, just type python3 spectrogen.py -h to see every options and what they do.
The sound.wav file is outputted in 16bit WAV file with a sample rate of 44100.
The frequencies on which the image is encoded span from 0 to 22000 Hz as that's the maximum frequency that my version of Audacity allows me to see.
The program makes use of :
  • Numpy for matrix handling
  • Sympy for resampling the image
  • PIL for importing the said image
  • argparse for allowing you to pass arguments to the program with nice flags (-h, -c, etc...)
  • wave, struct and math which are just native python3 libraries (I think)
They can all be installed with:
pip3 install numpy sympy Pillow argparse

The funnier version
This other version is entierly re-written in Javascript, HTML and CSS and can run offline by simply loading the index.html file in your favourite browser (tested on Firefox Quantum).
This version makes use of the HTML5 canvas feature to allow you to draw you spectrogram on a canvas, then press "Play" to play it or "Save" to download it. The colour has no effect
on the produced music but it's pretty so I added it anyway.
The downloaded file can be rendered in Audacity as a spectrogram and on it will appear the drawing you did on the HTML5 canvas.
I will very soon publish a live version of this on my website for internet people (you) to fiddle with.It's live but still WIP
All this project is opensource, if you use the sources please credit me that'd be nice of you.
Contact me if you want to collaborate. Cheerio !
About
Generates spectrogram from images
Resources
Readme
GPL-3.0 license
Activity
Stars
13 stars
Watchers
3 watching
Forks
4 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
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})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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SpectroGen
This generates spectrogram from images.
Sound spectrogram are a type of graph used in sound engineering to represent the "signature" of a sound.
They are the representation of the frequencies heard by unit of time. The frequency strengh is denoted by the colour of the graph at that point.
Therefore, it is possible to generates a soundwave such that its spectrogram would represent an images. This is the aim of this project.
Example of normal sound spectrogram:
I did two versions:
The original version
This one in Python 3. It takes as input an image, an output location and its duration and outputs a
WAV file containing the soundwave which spectrogram matches the image.
It can be used as follow:
python3 spectrogen.py image.png sound.wav

for a 5 second sound.wav file which spectrogram represents image.png.
image.png can be of any size and can be partially transparent. 

There's more customisation you can do onto the outputted file, just type python3 spectrogen.py -h to see every options and what they do.
The sound.wav file is outputted in 16bit WAV file with a sample rate of 44100.
The frequencies on which the image is encoded span from 0 to 22000 Hz as that's the maximum frequency that my version of Audacity allows me to see.
The program makes use of :
  • Numpy for matrix handling
  • Sympy for resampling the image
  • PIL for importing the said image
  • argparse for allowing you to pass arguments to the program with nice flags (-h, -c, etc...)
  • wave, struct and math which are just native python3 libraries (I think)
They can all be installed with:
pip3 install numpy sympy Pillow argparse

The funnier version
This other version is entierly re-written in Javascript, HTML and CSS and can run offline by simply loading the index.html file in your favourite browser (tested on Firefox Quantum).
This version makes use of the HTML5 canvas feature to allow you to draw you spectrogram on a canvas, then press "Play" to play it or "Save" to download it. The colour has no effect
on the produced music but it's pretty so I added it anyway.
The downloaded file can be rendered in Audacity as a spectrogram and on it will appear the drawing you did on the HTML5 canvas.
I will very soon publish a live version of this on my website for internet people (you) to fiddle with.It's live but still WIP
All this project is opensource, if you use the sources please credit me that'd be nice of you.
Contact me if you want to collaborate. Cheerio !
About
Generates spectrogram from images
Resources
Readme
GPL-3.0 license
Activity
Stars
13 stars
Watchers
3 watching
Forks
4 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

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SpectroGen
This generates spectrogram from images.
Sound spectrogram are a type of graph used in sound engineering to represent the "signature" of a sound.
They are the representation of the frequencies heard by unit of time. The frequency strengh is denoted by the colour of the graph at that point.
Therefore, it is possible to generates a soundwave such that its spectrogram would represent an images. This is the aim of this project.
Example of normal sound spectrogram:
I did two versions:
The original version
This one in Python 3. It takes as input an image, an output location and its duration and outputs a
WAV file containing the soundwave which spectrogram matches the image.
It can be used as follow:
python3 spectrogen.py image.png sound.wav

for a 5 second sound.wav file which spectrogram represents image.png.
image.png can be of any size and can be partially transparent. 

There's more customisation you can do onto the outputted file, just type python3 spectrogen.py -h to see every options and what they do.
The sound.wav file is outputted in 16bit WAV file with a sample rate of 44100.
The frequencies on which the image is encoded span from 0 to 22000 Hz as that's the maximum frequency that my version of Audacity allows me to see.
The program makes use of :
  • Numpy for matrix handling
  • Sympy for resampling the image
  • PIL for importing the said image
  • argparse for allowing you to pass arguments to the program with nice flags (-h, -c, etc...)
  • wave, struct and math which are just native python3 libraries (I think)
They can all be installed with:
pip3 install numpy sympy Pillow argparse

The funnier version
This other version is entierly re-written in Javascript, HTML and CSS and can run offline by simply loading the index.html file in your favourite browser (tested on Firefox Quantum).
This version makes use of the HTML5 canvas feature to allow you to draw you spectrogram on a canvas, then press "Play" to play it or "Save" to download it. The colour has no effect
on the produced music but it's pretty so I added it anyway.
The downloaded file can be rendered in Audacity as a spectrogram and on it will appear the drawing you did on the HTML5 canvas.
I will very soon publish a live version of this on my website for internet people (you) to fiddle with.It's live but still WIP
All this project is opensource, if you use the sources please credit me that'd be nice of you.
Contact me if you want to collaborate. Cheerio !
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Generates spectrogram from images
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