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DeepSpeechUnity

This project aims in transcribe either audio or video generating a SubRip file. If audio is selected, can also generate a video to be able to be read by most players.

Usage

In order to use this software, you must obtain a language and acustic Tensorflow model. You may either find both on the Internet or train them by yourself. Once downloaded, you need to download a Tensorflow model pretrained in the language of your need (or train one yourself) and place it inside of a folder named Languages in DeepSpeechUnity/Transcripter_Data/StreamingAssets.

  • German.pbmm -> DeepSpeechUnity/Transcripter_Data/StreamingAssets/Languages/
  • German.scorer -> DeepSpeechUnity/Transcripter_Data/StreamingAssets/Languages/

This project is tested using Aashish Agarwal's model which is wonderful and free. If you're using this software for transcripting from german I encourage you to download his model here https://github.com/AASHISHAG/deepspeech-german

In regard of the advance options, the ones selected as default come from Aashish Agarwal's flags.txt file which describes his selections when training, if using another model I recommend search for this kind of information in the place you found it and save changes.

This project is licensed under Apache Public License 2.0 and is based in Mozilla's DeepSpeech

About

This project aims in transcripting either audio or video generating a SubRip video which is able to be read by most players.

Resources

Readme
MPL-2.0 license
Activity

Stars

2 stars

Watchers

1 watching

Forks

1 fork
Report repository

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { // Add copy buttons to all 
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(function() {
function addCopyButtons() {
document.querySelectorAll('pre code').forEach(function(codeBlock) {
if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;
codeBlock.parentElement.setAttribute('data-copy-added', 'true');
var btn = document.createElement('button');
btn.textContent = 'Copy';
btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';
btn.onmouseover = function() { this.style.opacity = '1'; };
btn.onmouseout = function() { this.style.opacity = '0.7'; };
btn.onclick = function() {
navigator.clipboard.writeText(codeBlock.textContent).then(function() {
btn.textContent = 'Copied!';
setTimeout(function() { btn.textContent = 'Copy'; }, 1500);
});
};
codeBlock.parentElement.style.position = 'relative';
codeBlock.parentElement.appendChild(btn);
});
}
addCopyButtons();
// Re-run on dynamic content
var observer = new MutationObserver(addCopyButtons);
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
GitHub - JaviAibar/DeepSpeechUnity: This project aims in transcripting either audio or video generating a SubRip video which is able to be read by most players. · GitHub
Skip to content
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Repository files navigation
DeepSpeechUnity
This project aims in transcribe either audio or video generating a SubRip file. If audio is selected, can also generate a video to be able to be read by most players.
Usage
In order to use this software, you must obtain a language and acustic Tensorflow model. You may either find both on the Internet or train them by yourself.
Once downloaded, you need to download a Tensorflow model pretrained in the language of your need (or train one yourself) and place it inside of a folder named Languages in DeepSpeechUnity/Transcripter_Data/StreamingAssets.
  • German.pbmm -> DeepSpeechUnity/Transcripter_Data/StreamingAssets/Languages/
  • German.scorer -> DeepSpeechUnity/Transcripter_Data/StreamingAssets/Languages/
This project is tested using Aashish Agarwal's model which is wonderful and free. If you're using this software for transcripting from german I encourage you to download his model here https://github.com/AASHISHAG/deepspeech-german
In regard of the advance options, the ones selected as default come from Aashish Agarwal's flags.txt file which describes his selections when training, if using another model I recommend search for this kind of information in the place you found it and save changes.
This project is licensed under Apache Public License 2.0 and is based in Mozilla's DeepSpeech
About
This project aims in transcripting either audio or video generating a SubRip video which is able to be read by most players.
Resources
Readme
MPL-2.0 license
Activity
Stars
2 stars
Watchers
1 watching
Forks
1 fork
Report repository
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Force GitHub README to respect dark mode
(function() {
var style = document.createElement('style');
style.textContent = '
.markdown-body {
color-scheme: dark light;
}
.markdown-body pre { background: #161b22 !important; }
.markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }
.markdown-body table th, .markdown-body table td { border-color: #30363d !important; }
.markdown-body img { background: #0d1117; }
.markdown-body blockquote { border-left-color: #8b949e; }
.markdown-body hr { border-color: #30363d; }
';
document.head.appendChild(style);
})();
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - JaviAibar/DeepSpeechUnity: This project aims in transcripting either audio or video generating a SubRip video which is able to be read by most players. · GitHub
Skip to content
BranchesTags
Repository files navigation
DeepSpeechUnity
This project aims in transcribe either audio or video generating a SubRip file. If audio is selected, can also generate a video to be able to be read by most players.
Usage
In order to use this software, you must obtain a language and acustic Tensorflow model. You may either find both on the Internet or train them by yourself.
Once downloaded, you need to download a Tensorflow model pretrained in the language of your need (or train one yourself) and place it inside of a folder named Languages in DeepSpeechUnity/Transcripter_Data/StreamingAssets.
  • German.pbmm -> DeepSpeechUnity/Transcripter_Data/StreamingAssets/Languages/
  • German.scorer -> DeepSpeechUnity/Transcripter_Data/StreamingAssets/Languages/
This project is tested using Aashish Agarwal's model which is wonderful and free. If you're using this software for transcripting from german I encourage you to download his model here https://github.com/AASHISHAG/deepspeech-german
In regard of the advance options, the ones selected as default come from Aashish Agarwal's flags.txt file which describes his selections when training, if using another model I recommend search for this kind of information in the place you found it and save changes.
This project is licensed under Apache Public License 2.0 and is based in Mozilla's DeepSpeech
About
This project aims in transcripting either audio or video generating a SubRip video which is able to be read by most players.
Resources
Readme
MPL-2.0 license
Activity
Stars
2 stars
Watchers
1 watching
Forks
1 fork
Report repository
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Highlight search terms from Google/DuckDuckGo/Bing referrer
(function() {
var ref = document.referrer;
var terms = [];
if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {
var url = new URL(ref);
var q = url.searchParams.get('q') || url.searchParams.get('p');
if (q) {
terms = q.split(/\s+/).filter(function(t) { return t.length > 2; });
}
}
if (terms.length === 0) return;
var style = document.createElement('style');
style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';
document.head.appendChild(style);
function highlight(node) {
if (node.nodeType === 3) { // text node
var text = node.textContent;
var found = false;
terms.forEach(function(term) {
var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\]\\]/g, '\\') + ')', 'gi');
if (regex.test(text)) {
found = true;
var frag = document.createDocumentFragment();
var parts = text.split(regex);
parts.forEach(function(part, i) {
if (i % 2 === 0) {
frag.appendChild(document.createTextNode(part));
} else {
var span = document.createElement('span');
span.className = 'userscript-highlight';
span.textContent = part;
frag.appendChild(span);
}
});
node.parentNode.replaceChild(frag, node);
}
});
} else if (node.nodeType === 1 && node.childNodes) { // element
var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];
if (!skipTags.includes(node.tagName)) {
Array.from(node.childNodes).forEach(highlight);
}
}
}
highlight(document.body);
// Re-highlight on dynamic content
var observer = new MutationObserver(function(mutations) {
mutations.forEach(function(m) {
m.addedNodes.forEach(function(node) {
if (node.nodeType === 1 || node.nodeType === 3) highlight(node);
});
});
});
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - JaviAibar/DeepSpeechUnity: This project aims in transcripting either audio or video generating a SubRip video which is able to be read by most players. · GitHub
Skip to content
BranchesTags
Repository files navigation
DeepSpeechUnity
This project aims in transcribe either audio or video generating a SubRip file. If audio is selected, can also generate a video to be able to be read by most players.
Usage
In order to use this software, you must obtain a language and acustic Tensorflow model. You may either find both on the Internet or train them by yourself.
Once downloaded, you need to download a Tensorflow model pretrained in the language of your need (or train one yourself) and place it inside of a folder named Languages in DeepSpeechUnity/Transcripter_Data/StreamingAssets.
  • German.pbmm -> DeepSpeechUnity/Transcripter_Data/StreamingAssets/Languages/
  • German.scorer -> DeepSpeechUnity/Transcripter_Data/StreamingAssets/Languages/
This project is tested using Aashish Agarwal's model which is wonderful and free. If you're using this software for transcripting from german I encourage you to download his model here https://github.com/AASHISHAG/deepspeech-german
In regard of the advance options, the ones selected as default come from Aashish Agarwal's flags.txt file which describes his selections when training, if using another model I recommend search for this kind of information in the place you found it and save changes.
This project is licensed under Apache Public License 2.0 and is based in Mozilla's DeepSpeech
About
This project aims in transcripting either audio or video generating a SubRip video which is able to be read by most players.
Resources
Readme
MPL-2.0 license
Activity
Stars
2 stars
Watchers
1 watching
Forks
1 fork
Report repository
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Strip utm_, fbclid, gclid, etc. from all links on page
(function() {
var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',
'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',
'ref', 'ref_src', 'source', 'medium', 'campaign'];
function cleanUrl(url) {
try {
var u = new URL(url, window.location.origin);
var changed = false;
trackingParams.forEach(function(p) {
if (u.searchParams.has(p)) {
u.searchParams.delete(p);
changed = true;
}
});
return changed ? u.toString() : url;
} catch (e) {
return url;
}
}
function cleanLinks() {
document.querySelectorAll('a[href]').forEach(function(a) {
var clean = cleanUrl(a.href);
if (clean !== a.href) a.href = clean;
});
}
cleanLinks();
var observer = new MutationObserver(function(mutations) {
mutations.forEach(function(m) {
m.addedNodes.forEach(function(node) {
if (node.nodeType === 1) {
if (node.tagName === 'A') cleanLinks();
node.querySelectorAll('a[href]').forEach(function(a) {
var clean = cleanUrl(a.href);
if (clean !== a.href) a.href = clean;
});
}
});
});
});
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '
GitHub - JaviAibar/DeepSpeechUnity: This project aims in transcripting either audio or video generating a SubRip video which is able to be read by most players. · GitHub
Skip to content
BranchesTags
Repository files navigation
DeepSpeechUnity
This project aims in transcribe either audio or video generating a SubRip file. If audio is selected, can also generate a video to be able to be read by most players.
Usage
In order to use this software, you must obtain a language and acustic Tensorflow model. You may either find both on the Internet or train them by yourself.
Once downloaded, you need to download a Tensorflow model pretrained in the language of your need (or train one yourself) and place it inside of a folder named Languages in DeepSpeechUnity/Transcripter_Data/StreamingAssets.
  • German.pbmm -> DeepSpeechUnity/Transcripter_Data/StreamingAssets/Languages/
  • German.scorer -> DeepSpeechUnity/Transcripter_Data/StreamingAssets/Languages/
This project is tested using Aashish Agarwal's model which is wonderful and free. If you're using this software for transcripting from german I encourage you to download his model here https://github.com/AASHISHAG/deepspeech-german
In regard of the advance options, the ones selected as default come from Aashish Agarwal's flags.txt file which describes his selections when training, if using another model I recommend search for this kind of information in the place you found it and save changes.
This project is licensed under Apache Public License 2.0 and is based in Mozilla's DeepSpeech
About
This project aims in transcripting either audio or video generating a SubRip video which is able to be read by most players.
Resources
Readme
MPL-2.0 license
Activity
Stars
2 stars
Watchers
1 watching
Forks
1 fork
Report repository
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Auto-enable theater mode on YouTube
(function() {
function tryTheater() {
var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]');
if (btn && !btn.classList.contains('activated')) {
btn.click();
}
}
// Try immediately
tryTheater();
// Try after navigation (SPA)
var lastUrl = location.href;
setInterval(function() {
if (location.href !== lastUrl) {
lastUrl = location.href;
setTimeout(tryTheater, 500);
}
}, 1000);
// Also try on player load
var observer = new MutationObserver(tryTheater);
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - JaviAibar/DeepSpeechUnity: This project aims in transcripting either audio or video generating a SubRip video which is able to be read by most players. · GitHub
Skip to content
BranchesTags
Repository files navigation
DeepSpeechUnity
This project aims in transcribe either audio or video generating a SubRip file. If audio is selected, can also generate a video to be able to be read by most players.
Usage
In order to use this software, you must obtain a language and acustic Tensorflow model. You may either find both on the Internet or train them by yourself.
Once downloaded, you need to download a Tensorflow model pretrained in the language of your need (or train one yourself) and place it inside of a folder named Languages in DeepSpeechUnity/Transcripter_Data/StreamingAssets.
  • German.pbmm -> DeepSpeechUnity/Transcripter_Data/StreamingAssets/Languages/
  • German.scorer -> DeepSpeechUnity/Transcripter_Data/StreamingAssets/Languages/
This project is tested using Aashish Agarwal's model which is wonderful and free. If you're using this software for transcripting from german I encourage you to download his model here https://github.com/AASHISHAG/deepspeech-german
In regard of the advance options, the ones selected as default come from Aashish Agarwal's flags.txt file which describes his selections when training, if using another model I recommend search for this kind of information in the place you found it and save changes.
This project is licensed under Apache Public License 2.0 and is based in Mozilla's DeepSpeech
About
This project aims in transcripting either audio or video generating a SubRip video which is able to be read by most players.
Resources
Readme
MPL-2.0 license
Activity
Stars
2 stars
Watchers
1 watching
Forks
1 fork
Report repository
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Remove or un-stick sticky/fixed headers that block content
(function() {
function unstick() {
document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) {
if (el.style.position === 'fixed' || el.style.position === 'sticky' || getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {
el.style.position = 'static';
el.style.top = 'auto';
el.style.zIndex = 'auto';
}
});
}
unstick();
var observer = new MutationObserver(unstick);
observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });
})();
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - JaviAibar/DeepSpeechUnity: This project aims in transcripting either audio or video generating a SubRip video which is able to be read by most players. · GitHub
Skip to content
BranchesTags
Repository files navigation
DeepSpeechUnity
This project aims in transcribe either audio or video generating a SubRip file. If audio is selected, can also generate a video to be able to be read by most players.
Usage
In order to use this software, you must obtain a language and acustic Tensorflow model. You may either find both on the Internet or train them by yourself.
Once downloaded, you need to download a Tensorflow model pretrained in the language of your need (or train one yourself) and place it inside of a folder named Languages in DeepSpeechUnity/Transcripter_Data/StreamingAssets.
  • German.pbmm -> DeepSpeechUnity/Transcripter_Data/StreamingAssets/Languages/
  • German.scorer -> DeepSpeechUnity/Transcripter_Data/StreamingAssets/Languages/
This project is tested using Aashish Agarwal's model which is wonderful and free. If you're using this software for transcripting from german I encourage you to download his model here https://github.com/AASHISHAG/deepspeech-german
In regard of the advance options, the ones selected as default come from Aashish Agarwal's flags.txt file which describes his selections when training, if using another model I recommend search for this kind of information in the place you found it and save changes.
This project is licensed under Apache Public License 2.0 and is based in Mozilla's DeepSpeech
About
This project aims in transcripting either audio or video generating a SubRip video which is able to be read by most players.
Resources
Readme
MPL-2.0 license
Activity
Stars
2 stars
Watchers
1 watching
Forks
1 fork
Report repository
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Universal Dark Mode - works on any site
(function() {
var enabled = true;
function applyDarkMode() {
if (!enabled) return;
// Create style element if it doesn't exist
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');
}
}
});
// Apply on load
applyDarkMode();
// 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 - JaviAibar/DeepSpeechUnity: This project aims in transcripting either audio or video generating a SubRip video which is able to be read by most players. · GitHub
Skip to content
BranchesTags
Repository files navigation
DeepSpeechUnity
This project aims in transcribe either audio or video generating a SubRip file. If audio is selected, can also generate a video to be able to be read by most players.
Usage
In order to use this software, you must obtain a language and acustic Tensorflow model. You may either find both on the Internet or train them by yourself.
Once downloaded, you need to download a Tensorflow model pretrained in the language of your need (or train one yourself) and place it inside of a folder named Languages in DeepSpeechUnity/Transcripter_Data/StreamingAssets.
  • German.pbmm -> DeepSpeechUnity/Transcripter_Data/StreamingAssets/Languages/
  • German.scorer -> DeepSpeechUnity/Transcripter_Data/StreamingAssets/Languages/
This project is tested using Aashish Agarwal's model which is wonderful and free. If you're using this software for transcripting from german I encourage you to download his model here https://github.com/AASHISHAG/deepspeech-german
In regard of the advance options, the ones selected as default come from Aashish Agarwal's flags.txt file which describes his selections when training, if using another model I recommend search for this kind of information in the place you found it and save changes.
This project is licensed under Apache Public License 2.0 and is based in Mozilla's DeepSpeech
About
This project aims in transcripting either audio or video generating a SubRip video which is able to be read by most players.
Resources
Readme
MPL-2.0 license
Activity
Stars
2 stars
Watchers
1 watching
Forks
1 fork
Report repository
Contributors
Languages