Who Writes the Content on This Site
All content published on VoiceFrequencyTest.com is written by Amelia Foster, acoustic phonetics researcher, voice analysis 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 Amelia personally.
Every page — whether a technical explanation of pitch detection algorithms, a guide to interpreting frequency results, an FAQ answer, or a legal disclosure — is the direct product of Amelia’s research into acoustic phonetics, fundamental frequency analysis, and the science of the human voice.
Editorial Standard
The single test every piece of content on this site must pass before publication:
Would a voice researcher, singing teacher, speech-language pathologist, or acoustics-literate musician reading this page find it scientifically accurate, practically useful, and honest about what browser-based frequency analysis can and cannot determine — or would they find something missing, oversimplified, or wrong?
If the answer is anything other than “accurate, useful, and honest,” the content is not ready to publish. This standard applies equally to a 200-word FAQ answer and a 1,800-word technical explainer. Vague language about “your voice frequency” without specifying whether F0, formants, or perceived pitch is being discussed is not acceptable on any page of this site.
How Tool Pages Are Written
The tool page for the Voice Frequency Test is written to document three things with equal rigour:
1. What the tool measures and how Every tool page names the specific Web Audio API methods, signal processing steps, and detection algorithms involved. The measurement pipeline — microphone capture via getUserMedia(), FFT analysis via AnalyserNode, fundamental frequency detection, Hz display, and musical note mapping — is documented in full on the How It Works page. The tool page itself summarises this pipeline in user-facing language without sacrificing scientific accuracy.
2. What the result means A frequency reading in Hz is only useful if the reader understands what range is typical for their voice type, what the difference is between their speaking F0 and their singing range, and what variables — background noise, microphone quality, OS audio processing — might cause their displayed frequency to differ from their true fundamental. Every result explanation on this site includes this contextual layer.
3. What the tool cannot determine Browser-based fundamental frequency detection cannot diagnose voice disorders, cannot determine voice type from a single measurement, cannot distinguish between chest voice and head voice register from frequency alone, and cannot replace clinical or professional vocal assessment. These limitations are stated explicitly on every relevant page — not buried in footnotes, but presented as a normal and important part of understanding the measurement. The FAQ addresses the most commonly misunderstood aspects of voice frequency analysis.
How Technical Articles Are Researched
Acoustic Phonetics and Voice Science Content Articles covering fundamental frequency, formant structure, vocal fold physiology, and voice type classification are researched against peer-reviewed acoustic phonetics literature, including the Journal of the Acoustical Society of America and published vocal range studies. Where specific frequency ranges are cited — for example, typical male speaking F0 of 85–180 Hz — the source basis for that range is traceable to published research, not secondary summaries.
Pitch Detection Algorithm Content Articles covering FFT analysis, the YIN autocorrelation algorithm, and Web Audio API pitch detection behaviour are researched against the W3C Web Audio API specification, MDN Web Docs, and primary algorithm documentation — including the original YIN algorithm paper (de Cheveigné and Kawahara, 2002). Claims about specific algorithm accuracy figures and failure modes are cross-referenced against documented algorithm behaviour, not assumed from general descriptions.
Voice Training and Applied Vocal Content Articles covering vocal warm-up, speaking pitch habits, and the relationship between measured frequency and vocal health are written to be consistent with guidance from established voice pedagogy sources. Amelia does not publish medical or clinical voice health advice. Where a topic borders on clinical territory — voice disorders, pathological frequency patterns — the content notes clearly that professional consultation is required and does not substitute for it.
AI Content Policy
Amelia 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 scientific claim — any frequency range, algorithm behaviour, anatomical description, or acoustic phonetics claim is verified against a primary source before it appears on the page
- Rewrite for accuracy and voice — AI drafts are rewritten to reflect Amelia’s research knowledge and the specific accuracy standards this site maintains; hedged or vague language about “your unique voice” is replaced with precise, referenced statements
- Add site-specific context — generic voice explanations are replaced with examples and figures relevant to the specific tool and audience of VoiceFrequencyTest.com
- Final review before publication — every page is read in full by Amelia before it goes live
AI is a tool for efficiency, not a substitute for expertise. The expertise behind every published page is Amelia’s.
Corrections Policy
If a scientific error is identified on any page of this site — an incorrect frequency range, a misattributed algorithm property, an inaccurate vocal physiology description, or an outdated research 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. Amelia reviews all correction submissions personally. Response time for content correction reports: 48–72 hours.
What This Site Does Not Publish
- Content that implies browser-based frequency measurement is equivalent to clinical voice assessment or certified acoustic measurement
- Voice frequency ranges presented without disclosure of the population, methodology, and source from which they are drawn
- Medical or clinical advice about voice disorders, vocal health conditions, or voice rehabilitation
- Diagnostic claims — this tool measures frequency; it does not diagnose
- Link exchange requests, sponsored content, or paid product placements of any kind
- Content written by contributors who have not verified their claims against primary acoustic phonetics sources
Related Pages
- About VoiceFrequencyTest.com — what this site is, who runs it, and who it is for
- How It Works — full technical documentation of the frequency analysis 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 Amelia Foster and apply to all content published on VoiceFrequencyTest.com. Last updated: June 2026.