Written by Vincent Sullivan | Last updated: June 2026
Who Writes the Content on This Site
All content published on OnlinePitchDetector.com is written by Vincent Sullivan, audio signal processing educator and founder of this site. There are no guest contributors, no outsourced writers, and no AI-generated articles published without full review, fact-checking, and rewriting by Vincent personally.
Every page — whether a technical explanation of the YIN algorithm, a guide to interpreting pitch detection results, an FAQ answer, or a legal disclosure — is the direct product of Vincent’s research into fundamental frequency detection, equal temperament mathematics, and the specific implementation challenges of real-time pitch analysis in browser environments.
Editorial Standard
The single test every piece of content on this site must pass before publication:
Would an audio signal processing engineer, a professional musician working on intonation, or a Web Audio API developer reading this page find it technically accurate, practically useful for real pitch detection tasks, and honest about the accuracy limits and failure modes of browser-based YIN detection — or would they find something oversimplified, incorrect, or missing?
If the answer is anything other than “accurate, useful, and honest,” the content is not ready to publish. A pitch detector page that shows a note name without documenting the cents deviation formula, the octave error risk, or the effect of OS audio processing on detection accuracy is not meeting the standard this site is built on.
How Tool Pages Are Written
The tool page for the Online Pitch Detector is written to document three things with equal rigour:
1. What the tool measures and how The full detection pipeline — microphone capture via getUserMedia(), FFT analysis via AnalyserNode, YIN autocorrelation-based F0 detection, equal temperament note mapping, and cents deviation calculation — is documented in full on the How It Works page. Tool pages summarise this pipeline clearly without sacrificing technical accuracy.
2. What the result means A frequency reading in Hz, a note name, and a cents deviation figure are only useful if the musician or developer understands what precision means at their specific use case — 5 cents is perceptible to a trained musician; 50 cents is a quarter-tone. Every result explanation includes this contextual layer.
3. What the tool cannot determine Browser-based YIN detection is subject to octave errors, noise floor limitations, OS audio processing interference, and microphone frequency response roll-off at low frequencies. These limitations are stated explicitly on every relevant page. The FAQ addresses the most commonly misunderstood aspects of pitch detection accuracy.
How Technical Articles Are Researched
Pitch Detection Algorithm Content Articles covering YIN autocorrelation, FFT analysis, the difference function, harmonic cancellation, and the Web Audio API implementation are researched against the original YIN paper (de Cheveigné and Kawahara, 2002), the W3C Web Audio API specification, and MDN Web Docs. Algorithm accuracy claims are documented with specific reference to frequency range, SNR, and audio processing conditions.
Equal Temperament and Tuning Content Articles covering equal temperament mathematics, ISO 16 pitch standard (A4 = 440 Hz), the cents system, historical pitch standards, and just intonation are researched against established music theory literature and international standards documentation. The cents deviation formula — 1,200 × log₂(f_detected ÷ f_target) — is applied consistently and correctly throughout all content.
Intonation and Musical Application Content Articles covering instrument intonation, vocal pitch accuracy, tuning practice, and the practical thresholds for pitch discrimination are written to reflect established psychoacoustics research. Vincent does not publish claims about specific intonation thresholds without citation against published perceptual research.
AI Content Policy
Vincent uses AI writing tools as a research aid and first-draft accelerator. No AI-generated content is published on this site without the following process:
- Fact-check every technical claim — any algorithm description, frequency calculation, cents formula, or accuracy figure is verified against a primary source before it appears on the page
- Rewrite for accuracy and precision — AI drafts are rewritten to reflect Vincent’s research knowledge; generic pitch detection descriptions are replaced with content specific to the YIN algorithm and Web Audio API implementation
- Add site-specific context — general signal processing explanations are replaced with worked examples and figures specific to the pitch detection tool and its audience
- Final review before publication — every page is read in full by Vincent before it goes live
Corrections Policy
If a technical error is identified on any page — an incorrect formula, a misattributed algorithm property, an inaccurate cents calculation, or an incorrect frequency reference — it will be corrected as a priority. Corrections are made to the live page and the “Last updated” date is revised. Significant corrections are noted at the top of the relevant page.
To report a correction, use the Contact page with the subject line “Content Correction” and the specific page URL and error. Vincent reviews all correction submissions personally. Response time: 48–72 hours.
What This Site Does Not Publish
- Pitch detection accuracy claims presented without disclosure of the conditions — frequency range, SNR, microphone type, OS audio processing state — under which they apply
- Content implying browser-based YIN detection achieves sub-cent accuracy under all conditions
- Medical or clinical advice about hearing, voice health, or audiology
- Diagnostic claims — this tool measures pitch; it does not diagnose
- Link exchange requests, sponsored content, or paid product placements
- Content written by contributors who have not verified their claims against primary signal processing sources
Related Pages
- About OnlinePitchDetector.com — what this site is, who runs it, and who it is for
- How It Works — full technical documentation of the pitch detection pipeline
- Data Security — how microphone audio is handled and why it never leaves your device
- Contact — to report errors, ask technical questions, or submit data requests
These guidelines were written by Vincent Sullivan and apply to all content published on OnlinePitchDetector.com. Last updated: June 2026.