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HackPitchTrack

Therefore, I wrote this code as a proof of concept of the equations used in the Pitch Track of the original patent US5973252 - Pitch Detection and Intonation Correction Aparatus and Method (Antares -> Autotune method to extract pitch)

For basic monophonic sounds, it works a little well, but will need to check for errors with periods out of range (TO-DO)...

Yes, it is just a concept to prove that the original patent equations work, it is an autocorrelation variant, they certainly need to be improved, but it is obvious there are many secrets not revealed in the patent lol

OK, Python makes me nervous when I percieve how slow the loops are, so I needed to vectorize to gain speed and skip some loops, maybe the equations are not so easy to see in the coded file ...

FUN

This code is purely python, the demo is just for fun, you will get all Pitch from one .wav file and build sines, for now just use mono and monophonic sounds inputs

The only dependency on the example file is the use of numpy and pyaudio to play

Video that show its working https://youtu.be/fsPOWzNtaXQ, yeah you will see/listen that the Pitch Track fails some frequencies at the end lol, seems an old R2d2 ...

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GitHub - ederwander/HackPitchTrack: Pitch Track Hack - Pythonic Implementation of the Pitch track used in autotune patent · GitHub
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HackPitchTrack

Therefore, I wrote this code as a proof of concept of the equations used in the Pitch Track of the original patent US5973252 - Pitch Detection and Intonation Correction Aparatus and Method (Antares -> Autotune method to extract pitch)

For basic monophonic sounds, it works a little well, but will need to check for errors with periods out of range (TO-DO)...

Yes, it is just a concept to prove that the original patent equations work, it is an autocorrelation variant, they certainly need to be improved, but it is obvious there are many secrets not revealed in the patent lol

OK, Python makes me nervous when I percieve how slow the loops are, so I needed to vectorize to gain speed and skip some loops, maybe the equations are not so easy to see in the coded file ...

FUN

This code is purely python, the demo is just for fun, you will get all Pitch from one .wav file and build sines, for now just use mono and monophonic sounds inputs

The only dependency on the example file is the use of numpy and pyaudio to play

Video that show its working https://youtu.be/fsPOWzNtaXQ, yeah you will see/listen that the Pitch Track fails some frequencies at the end lol, seems an old R2d2 ...

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, '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 - ederwander/HackPitchTrack: Pitch Track Hack - Pythonic Implementation of the Pitch track used in autotune patent · GitHub
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HackPitchTrack

Therefore, I wrote this code as a proof of concept of the equations used in the Pitch Track of the original patent US5973252 - Pitch Detection and Intonation Correction Aparatus and Method (Antares -> Autotune method to extract pitch)

For basic monophonic sounds, it works a little well, but will need to check for errors with periods out of range (TO-DO)...

Yes, it is just a concept to prove that the original patent equations work, it is an autocorrelation variant, they certainly need to be improved, but it is obvious there are many secrets not revealed in the patent lol

OK, Python makes me nervous when I percieve how slow the loops are, so I needed to vectorize to gain speed and skip some loops, maybe the equations are not so easy to see in the coded file ...

FUN

This code is purely python, the demo is just for fun, you will get all Pitch from one .wav file and build sines, for now just use mono and monophonic sounds inputs

The only dependency on the example file is the use of numpy and pyaudio to play

Video that show its working https://youtu.be/fsPOWzNtaXQ, yeah you will see/listen that the Pitch Track fails some frequencies at the end lol, seems an old R2d2 ...

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, '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 - ederwander/HackPitchTrack: Pitch Track Hack - Pythonic Implementation of the Pitch track used in autotune patent · GitHub
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HackPitchTrack

Therefore, I wrote this code as a proof of concept of the equations used in the Pitch Track of the original patent US5973252 - Pitch Detection and Intonation Correction Aparatus and Method (Antares -> Autotune method to extract pitch)

For basic monophonic sounds, it works a little well, but will need to check for errors with periods out of range (TO-DO)...

Yes, it is just a concept to prove that the original patent equations work, it is an autocorrelation variant, they certainly need to be improved, but it is obvious there are many secrets not revealed in the patent lol

OK, Python makes me nervous when I percieve how slow the loops are, so I needed to vectorize to gain speed and skip some loops, maybe the equations are not so easy to see in the coded file ...

FUN

This code is purely python, the demo is just for fun, you will get all Pitch from one .wav file and build sines, for now just use mono and monophonic sounds inputs

The only dependency on the example file is the use of numpy and pyaudio to play

Video that show its working https://youtu.be/fsPOWzNtaXQ, yeah you will see/listen that the Pitch Track fails some frequencies at the end lol, seems an old R2d2 ...

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, '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 - ederwander/HackPitchTrack: Pitch Track Hack - Pythonic Implementation of the Pitch track used in autotune patent · GitHub
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HackPitchTrack

Therefore, I wrote this code as a proof of concept of the equations used in the Pitch Track of the original patent US5973252 - Pitch Detection and Intonation Correction Aparatus and Method (Antares -> Autotune method to extract pitch)

For basic monophonic sounds, it works a little well, but will need to check for errors with periods out of range (TO-DO)...

Yes, it is just a concept to prove that the original patent equations work, it is an autocorrelation variant, they certainly need to be improved, but it is obvious there are many secrets not revealed in the patent lol

OK, Python makes me nervous when I percieve how slow the loops are, so I needed to vectorize to gain speed and skip some loops, maybe the equations are not so easy to see in the coded file ...

FUN

This code is purely python, the demo is just for fun, you will get all Pitch from one .wav file and build sines, for now just use mono and monophonic sounds inputs

The only dependency on the example file is the use of numpy and pyaudio to play

Video that show its working https://youtu.be/fsPOWzNtaXQ, yeah you will see/listen that the Pitch Track fails some frequencies at the end lol, seems an old R2d2 ...

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, '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 - ederwander/HackPitchTrack: Pitch Track Hack - Pythonic Implementation of the Pitch track used in autotune patent · GitHub
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HackPitchTrack

Therefore, I wrote this code as a proof of concept of the equations used in the Pitch Track of the original patent US5973252 - Pitch Detection and Intonation Correction Aparatus and Method (Antares -> Autotune method to extract pitch)

For basic monophonic sounds, it works a little well, but will need to check for errors with periods out of range (TO-DO)...

Yes, it is just a concept to prove that the original patent equations work, it is an autocorrelation variant, they certainly need to be improved, but it is obvious there are many secrets not revealed in the patent lol

OK, Python makes me nervous when I percieve how slow the loops are, so I needed to vectorize to gain speed and skip some loops, maybe the equations are not so easy to see in the coded file ...

FUN

This code is purely python, the demo is just for fun, you will get all Pitch from one .wav file and build sines, for now just use mono and monophonic sounds inputs

The only dependency on the example file is the use of numpy and pyaudio to play

Video that show its working https://youtu.be/fsPOWzNtaXQ, yeah you will see/listen that the Pitch Track fails some frequencies at the end lol, seems an old R2d2 ...

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, '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); } })(); })(); GitHub - ederwander/HackPitchTrack: Pitch Track Hack - Pythonic Implementation of the Pitch track used in autotune patent · GitHub
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HackPitchTrack

Therefore, I wrote this code as a proof of concept of the equations used in the Pitch Track of the original patent US5973252 - Pitch Detection and Intonation Correction Aparatus and Method (Antares -> Autotune method to extract pitch)

For basic monophonic sounds, it works a little well, but will need to check for errors with periods out of range (TO-DO)...

Yes, it is just a concept to prove that the original patent equations work, it is an autocorrelation variant, they certainly need to be improved, but it is obvious there are many secrets not revealed in the patent lol

OK, Python makes me nervous when I percieve how slow the loops are, so I needed to vectorize to gain speed and skip some loops, maybe the equations are not so easy to see in the coded file ...

FUN

This code is purely python, the demo is just for fun, you will get all Pitch from one .wav file and build sines, for now just use mono and monophonic sounds inputs

The only dependency on the example file is the use of numpy and pyaudio to play

Video that show its working https://youtu.be/fsPOWzNtaXQ, yeah you will see/listen that the Pitch Track fails some frequencies at the end lol, seems an old R2d2 ...

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