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DSAlign

DeepSpeech based forced alignment tool

Installation

It is recommended to use this tool from within a virtual environment. After cloning and changing to the root of the project, there is a script for creating one with all requirements in the git-ignored dir venv:

$ bin/createenv.sh
$ ls venv
bin include lib lib64 pyvenv.cfg share

bin/align.sh will automatically use it.

Internally DSAlign uses the DeepSpeech STT engine. For it to be able to function, it requires a couple of files that are specific to the language of the speech data you want to align. If you want to align English, there is already a helper script that will download and prepare all required data:

$ bin/getmodel.sh [...]
$ ls models/en/
alphabet.txt lm.binary output_graph.pb output_graph.pbmm output_graph.tflite trie

Overview and documentation

A typical application of the aligner is done in three phases:

  1. Preparing the data. Albeit most of this has to be done individually, there are some tools for data preparation, statistics and maintenance. All involved file formats are described here.
  2. Aligning the data using the alignment tool and it algorithm.
  3. Exporting aligned data using the data-set exporter.

Quickstart example

Example data

There is a script for downloading and preparing some public domain speech and transcript data. It requires ffmpeg for some sample conversion.

$ bin/gettestdata.sh
$ ls data
test1 test2

Alignment using example data

Now the aligner can be called either "manually" (specifying all involved files directly):

$ bin/align.sh --audio data/test1/audio.wav --script data/test1/transcript.txt --aligned data/test1/aligned.json --tlog data/test1/transcript.log

Or "automatically" by specifying a so-called catalog file that bundles all involved paths:

$ bin/align.sh --catalog data/test1.catalog

About

DeepSpeech based forced alignment tool

Topics

deepspeechforced-alignment

Resources

Readme
MPL-2.0 license

Code of conduct

Code of conduct
Activity
Custom properties

Stars

239 stars

Watchers

21 watching

Forks

31 forks
Report repository

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n 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;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

Skip to content
BranchesTags
Repository files navigation
DSAlign
DeepSpeech based forced alignment tool
Installation
It is recommended to use this tool from within a virtual environment.
After cloning and changing to the root of the project,
there is a script for creating one with all requirements in the git-ignored dir venv:
$ bin/createenv.sh
$ ls venv
bin include lib lib64 pyvenv.cfg share
bin/align.sh will automatically use it.
Internally DSAlign uses the DeepSpeech STT engine.
For it to be able to function, it requires a couple of files that are specific to
the language of the speech data you want to align.
If you want to align English, there is already a helper script that will download and prepare
all required data:
$ bin/getmodel.sh [...]
$ ls models/en/
alphabet.txt lm.binary output_graph.pb output_graph.pbmm output_graph.tflite trie
Overview and documentation
A typical application of the aligner is done in three phases:
  1. Preparing the data. Albeit most of this has to be done individually,
there are some tools for data preparation, statistics and maintenance.
All involved file formats are described here.
  2. Aligning the data using the alignment tool and it algorithm.
  3. Exporting aligned data using the data-set exporter.
Quickstart example
Example data
There is a script for downloading and preparing some public domain speech and transcript data.
It requires ffmpeg for some sample conversion.
$ bin/gettestdata.sh
$ ls data
test1 test2
Alignment using example data
Now the aligner can be called either "manually" (specifying all involved files directly):
$ bin/align.sh --audio data/test1/audio.wav --script data/test1/transcript.txt --aligned data/test1/aligned.json --tlog data/test1/transcript.log
Or "automatically" by specifying a so-called catalog file that bundles all involved paths:
$ bin/align.sh --catalog data/test1.catalog
About
DeepSpeech based forced alignment tool
Topics
deepspeechforced-alignment
Resources
Readme
MPL-2.0 license
Code of conduct
Code of conduct
Activity
Custom properties
Stars
239 stars
Watchers
21 watching
Forks
31 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
DSAlign
DeepSpeech based forced alignment tool
Installation
It is recommended to use this tool from within a virtual environment.
After cloning and changing to the root of the project,
there is a script for creating one with all requirements in the git-ignored dir venv:
$ bin/createenv.sh
$ ls venv
bin include lib lib64 pyvenv.cfg share
bin/align.sh will automatically use it.
Internally DSAlign uses the DeepSpeech STT engine.
For it to be able to function, it requires a couple of files that are specific to
the language of the speech data you want to align.
If you want to align English, there is already a helper script that will download and prepare
all required data:
$ bin/getmodel.sh [...]
$ ls models/en/
alphabet.txt lm.binary output_graph.pb output_graph.pbmm output_graph.tflite trie
Overview and documentation
A typical application of the aligner is done in three phases:
  1. Preparing the data. Albeit most of this has to be done individually,
there are some tools for data preparation, statistics and maintenance.
All involved file formats are described here.
  2. Aligning the data using the alignment tool and it algorithm.
  3. Exporting aligned data using the data-set exporter.
Quickstart example
Example data
There is a script for downloading and preparing some public domain speech and transcript data.
It requires ffmpeg for some sample conversion.
$ bin/gettestdata.sh
$ ls data
test1 test2
Alignment using example data
Now the aligner can be called either "manually" (specifying all involved files directly):
$ bin/align.sh --audio data/test1/audio.wav --script data/test1/transcript.txt --aligned data/test1/aligned.json --tlog data/test1/transcript.log
Or "automatically" by specifying a so-called catalog file that bundles all involved paths:
$ bin/align.sh --catalog data/test1.catalog
About
DeepSpeech based forced alignment tool
Topics
deepspeechforced-alignment
Resources
Readme
MPL-2.0 license
Code of conduct
Code of conduct
Activity
Custom properties
Stars
239 stars
Watchers
21 watching
Forks
31 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
DSAlign
DeepSpeech based forced alignment tool
Installation
It is recommended to use this tool from within a virtual environment.
After cloning and changing to the root of the project,
there is a script for creating one with all requirements in the git-ignored dir venv:
$ bin/createenv.sh
$ ls venv
bin include lib lib64 pyvenv.cfg share
bin/align.sh will automatically use it.
Internally DSAlign uses the DeepSpeech STT engine.
For it to be able to function, it requires a couple of files that are specific to
the language of the speech data you want to align.
If you want to align English, there is already a helper script that will download and prepare
all required data:
$ bin/getmodel.sh [...]
$ ls models/en/
alphabet.txt lm.binary output_graph.pb output_graph.pbmm output_graph.tflite trie
Overview and documentation
A typical application of the aligner is done in three phases:
  1. Preparing the data. Albeit most of this has to be done individually,
there are some tools for data preparation, statistics and maintenance.
All involved file formats are described here.
  2. Aligning the data using the alignment tool and it algorithm.
  3. Exporting aligned data using the data-set exporter.
Quickstart example
Example data
There is a script for downloading and preparing some public domain speech and transcript data.
It requires ffmpeg for some sample conversion.
$ bin/gettestdata.sh
$ ls data
test1 test2
Alignment using example data
Now the aligner can be called either "manually" (specifying all involved files directly):
$ bin/align.sh --audio data/test1/audio.wav --script data/test1/transcript.txt --aligned data/test1/aligned.json --tlog data/test1/transcript.log
Or "automatically" by specifying a so-called catalog file that bundles all involved paths:
$ bin/align.sh --catalog data/test1.catalog
About
DeepSpeech based forced alignment tool
Topics
deepspeechforced-alignment
Resources
Readme
MPL-2.0 license
Code of conduct
Code of conduct
Activity
Custom properties
Stars
239 stars
Watchers
21 watching
Forks
31 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, '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");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

Skip to content
BranchesTags
Repository files navigation
DSAlign
DeepSpeech based forced alignment tool
Installation
It is recommended to use this tool from within a virtual environment.
After cloning and changing to the root of the project,
there is a script for creating one with all requirements in the git-ignored dir venv:
$ bin/createenv.sh
$ ls venv
bin include lib lib64 pyvenv.cfg share
bin/align.sh will automatically use it.
Internally DSAlign uses the DeepSpeech STT engine.
For it to be able to function, it requires a couple of files that are specific to
the language of the speech data you want to align.
If you want to align English, there is already a helper script that will download and prepare
all required data:
$ bin/getmodel.sh [...]
$ ls models/en/
alphabet.txt lm.binary output_graph.pb output_graph.pbmm output_graph.tflite trie
Overview and documentation
A typical application of the aligner is done in three phases:
  1. Preparing the data. Albeit most of this has to be done individually,
there are some tools for data preparation, statistics and maintenance.
All involved file formats are described here.
  2. Aligning the data using the alignment tool and it algorithm.
  3. Exporting aligned data using the data-set exporter.
Quickstart example
Example data
There is a script for downloading and preparing some public domain speech and transcript data.
It requires ffmpeg for some sample conversion.
$ bin/gettestdata.sh
$ ls data
test1 test2
Alignment using example data
Now the aligner can be called either "manually" (specifying all involved files directly):
$ bin/align.sh --audio data/test1/audio.wav --script data/test1/transcript.txt --aligned data/test1/aligned.json --tlog data/test1/transcript.log
Or "automatically" by specifying a so-called catalog file that bundles all involved paths:
$ bin/align.sh --catalog data/test1.catalog
About
DeepSpeech based forced alignment tool
Topics
deepspeechforced-alignment
Resources
Readme
MPL-2.0 license
Code of conduct
Code of conduct
Activity
Custom properties
Stars
239 stars
Watchers
21 watching
Forks
31 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");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
DSAlign
DeepSpeech based forced alignment tool
Installation
It is recommended to use this tool from within a virtual environment.
After cloning and changing to the root of the project,
there is a script for creating one with all requirements in the git-ignored dir venv:
$ bin/createenv.sh
$ ls venv
bin include lib lib64 pyvenv.cfg share
bin/align.sh will automatically use it.
Internally DSAlign uses the DeepSpeech STT engine.
For it to be able to function, it requires a couple of files that are specific to
the language of the speech data you want to align.
If you want to align English, there is already a helper script that will download and prepare
all required data:
$ bin/getmodel.sh [...]
$ ls models/en/
alphabet.txt lm.binary output_graph.pb output_graph.pbmm output_graph.tflite trie
Overview and documentation
A typical application of the aligner is done in three phases:
  1. Preparing the data. Albeit most of this has to be done individually,
there are some tools for data preparation, statistics and maintenance.
All involved file formats are described here.
  2. Aligning the data using the alignment tool and it algorithm.
  3. Exporting aligned data using the data-set exporter.
Quickstart example
Example data
There is a script for downloading and preparing some public domain speech and transcript data.
It requires ffmpeg for some sample conversion.
$ bin/gettestdata.sh
$ ls data
test1 test2
Alignment using example data
Now the aligner can be called either "manually" (specifying all involved files directly):
$ bin/align.sh --audio data/test1/audio.wav --script data/test1/transcript.txt --aligned data/test1/aligned.json --tlog data/test1/transcript.log
Or "automatically" by specifying a so-called catalog file that bundles all involved paths:
$ bin/align.sh --catalog data/test1.catalog
About
DeepSpeech based forced alignment tool
Topics
deepspeechforced-alignment
Resources
Readme
MPL-2.0 license
Code of conduct
Code of conduct
Activity
Custom properties
Stars
239 stars
Watchers
21 watching
Forks
31 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");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
DSAlign
DeepSpeech based forced alignment tool
Installation
It is recommended to use this tool from within a virtual environment.
After cloning and changing to the root of the project,
there is a script for creating one with all requirements in the git-ignored dir venv:
$ bin/createenv.sh
$ ls venv
bin include lib lib64 pyvenv.cfg share
bin/align.sh will automatically use it.
Internally DSAlign uses the DeepSpeech STT engine.
For it to be able to function, it requires a couple of files that are specific to
the language of the speech data you want to align.
If you want to align English, there is already a helper script that will download and prepare
all required data:
$ bin/getmodel.sh [...]
$ ls models/en/
alphabet.txt lm.binary output_graph.pb output_graph.pbmm output_graph.tflite trie
Overview and documentation
A typical application of the aligner is done in three phases:
  1. Preparing the data. Albeit most of this has to be done individually,
there are some tools for data preparation, statistics and maintenance.
All involved file formats are described here.
  2. Aligning the data using the alignment tool and it algorithm.
  3. Exporting aligned data using the data-set exporter.
Quickstart example
Example data
There is a script for downloading and preparing some public domain speech and transcript data.
It requires ffmpeg for some sample conversion.
$ bin/gettestdata.sh
$ ls data
test1 test2
Alignment using example data
Now the aligner can be called either "manually" (specifying all involved files directly):
$ bin/align.sh --audio data/test1/audio.wav --script data/test1/transcript.txt --aligned data/test1/aligned.json --tlog data/test1/transcript.log
Or "automatically" by specifying a so-called catalog file that bundles all involved paths:
$ bin/align.sh --catalog data/test1.catalog
About
DeepSpeech based forced alignment tool
Topics
deepspeechforced-alignment
Resources
Readme
MPL-2.0 license
Code of conduct
Code of conduct
Activity
Custom properties
Stars
239 stars
Watchers
21 watching
Forks
31 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); }
})();
})();

Skip to content
BranchesTags
Repository files navigation
DSAlign
DeepSpeech based forced alignment tool
Installation
It is recommended to use this tool from within a virtual environment.
After cloning and changing to the root of the project,
there is a script for creating one with all requirements in the git-ignored dir venv:
$ bin/createenv.sh
$ ls venv
bin include lib lib64 pyvenv.cfg share
bin/align.sh will automatically use it.
Internally DSAlign uses the DeepSpeech STT engine.
For it to be able to function, it requires a couple of files that are specific to
the language of the speech data you want to align.
If you want to align English, there is already a helper script that will download and prepare
all required data:
$ bin/getmodel.sh [...]
$ ls models/en/
alphabet.txt lm.binary output_graph.pb output_graph.pbmm output_graph.tflite trie
Overview and documentation
A typical application of the aligner is done in three phases:
  1. Preparing the data. Albeit most of this has to be done individually,
there are some tools for data preparation, statistics and maintenance.
All involved file formats are described here.
  2. Aligning the data using the alignment tool and it algorithm.
  3. Exporting aligned data using the data-set exporter.
Quickstart example
Example data
There is a script for downloading and preparing some public domain speech and transcript data.
It requires ffmpeg for some sample conversion.
$ bin/gettestdata.sh
$ ls data
test1 test2
Alignment using example data
Now the aligner can be called either "manually" (specifying all involved files directly):
$ bin/align.sh --audio data/test1/audio.wav --script data/test1/transcript.txt --aligned data/test1/aligned.json --tlog data/test1/transcript.log
Or "automatically" by specifying a so-called catalog file that bundles all involved paths:
$ bin/align.sh --catalog data/test1.catalog
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DeepSpeech based forced alignment tool
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deepspeechforced-alignment
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