Every article, guide, and tool description on PitchDetector.com is researched, written, and reviewed by people with direct professional experience in audio signal processing, vocal pedagogy, music education, or instrument acoustics. This page introduces our editorial team and explains how we ensure technical accuracy.
Our Editorial Standards
PitchDetector.com operates at the intersection of audio science and music practice. Our content makes specific technical claims — frequency values in Hz, algorithm names, cent deviation benchmarks, physiological descriptions of vocal mechanics — that must be accurate.
Our verification process:
- All frequency values, algorithm descriptions, and acoustic physics are checked against peer-reviewed sources in music information retrieval (MIR), voice science, and signal processing
- Vocal pedagogy content (warm-up exercises, technique descriptions, voice type classifications) is reviewed against established teaching frameworks including the work of Ingo Titze, Johan Sundberg, and the National Association of Teachers of Singing (NATS) guidelines
- Accuracy claims about our tools are backed by controlled tests documented on the accuracy tests page
- Technical explanations are reviewed by our DSP engineering team before publication
- Factual claims include specific, verifiable details — Hz values, cent ranges, named algorithms — rather than generic statements
Update policy: Pages are reviewed and updated when underlying research, tuning standards, or tool performance data changes. Major updates are dated in the page footer.
Editorial Team
Audio DSP Engineering Team
Our digital signal processing engineers hold academic or professional backgrounds in electrical engineering, computer science, or acoustics with specific expertise in the Web Audio API, pitch detection algorithms (YIN, autocorrelation, FFT-based methods), and browser-based audio processing. They are responsible for:
- Technical accuracy of all algorithm descriptions (YIN, autocorrelation, phase vocoder, FFT)
- Tool performance documentation and accuracy testing methodology
- Technical review of articles making claims about audio processing, detection accuracy, or signal analysis
- Verification of Hz values, cent calculations, and frequency-to-note mapping claims
Pages reviewed by this team carry the tag: Audio DSP Engineering Review
Vocal Pedagogy Team
Our vocal educators hold professional qualifications in voice instruction with extensive experience in classical and contemporary vocal technique. Their backgrounds span conservatory training, university-level voice instruction, and professional performance. They are responsible for:
- Accuracy of voice type classification descriptions (soprano, mezzo-soprano, alto, tenor, baritone, bass)
- Technical accuracy of vocal anatomy and physiology content (vocal fold mechanics, passaggio, formants)
- Review of warm-up exercise descriptions, breath technique guidance, and intonation correction methods
- Verification that technique recommendations align with established vocal science consensus
Pages reviewed by this team carry the tag: Vocal Pedagogy Review
Music Education Team
Our music educators bring expertise in ear training pedagogy, music theory instruction, instrument technique, and practical musicianship from school, conservatory, and private teaching contexts. They are responsible for:
- Accuracy of music theory content (interval names, scale structures, chord quality descriptions)
- Ear training exercise sequencing and pedagogical approach
- Guitar, violin, ukulele, and other instrument technique guidance
- Review of all content directed at beginner musicians to ensure it is accessible and accurate
Pages reviewed by this team carry the tag: Music Education Review
Our Commitment to Accuracy
We take the accuracy of technical content seriously — especially frequency values, algorithm names, and physiological claims that appear in our articles. When sources conflict or a claim cannot be independently verified, we hedge it explicitly rather than stating uncertain information as fact.
If you find a factual error — an incorrect Hz value, a misattributed algorithm name, a physiological description that doesn’t match the research — please contact us via the contact page with a citation. We investigate all reports and correct errors promptly.
Our accuracy test results — including the controlled sine-tone tests showing ±5 cents stability across multiple devices and browsers — are documented transparently on the accuracy tests page.
Transparency About Our Tools
All pitch detection processing on PitchDetector.com happens locally in your browser via the Web Audio API. No audio is recorded, uploaded, or stored. This is a technical fact about how the Web Audio API operates, not a marketing claim — it’s documented in our methodology and can be verified independently by any developer using browser network inspection tools.
Our tools use standard, documented algorithms — primarily YIN pitch detection and autocorrelation methods — referenced to the A4 = 440 Hz international standard (ISO 16) unless otherwise specified. The choice of algorithm, smoothing parameters, and noise-gating thresholds is documented in the methodology guide.
Related Transparency Pages
- Methodology — How our pitch detection algorithms work, which methods we use, and how performance is measured
- Accuracy Tests — Controlled test results showing ±5 cent stability on clean sine tones across devices and browsers
- Data Security — Technical explanation of local processing and what data (none) is collected
- Privacy Policy — Full privacy disclosure
- Contact Us — Report errors, ask questions, provide feedback