Foundations
Understanding Voice Gender Presentation
Learn what voice gender presentation means, which acoustic cues can influence perception, and why a recording is not an identity label.
Read guide →Voice analysis knowledge hub
These original guides explain what a browser-based voice analysis can measure, what it cannot determine, and how to record and compare samples responsibly. The tool processes audio locally; the articles never treat a recording as an identity label or medical assessment.
Clear limits and useful language for reading an acoustic voice result.
Foundations
Learn what voice gender presentation means, which acoustic cues can influence perception, and why a recording is not an identity label.
Read guide →Pitch, ranges, movement, and the context that makes a comparison meaningful.
Pitch basics
A practical explanation of speaking pitch, pitch range, overlap, and how to interpret Hertz without turning it into an identity label.
Read guide →Plain-English explanations of the values shown in a local report.
Metrics explained
Understand median F0, an 80 percent pitch range, pitch movement, and the limits of a short speaking-voice sample.
Read guide →Recording setup, confidence, and the signal checks behind a reliable sample.
Quality and confidence
Learn what makes a short speech recording suitable for local YIN pitch detection and why quality affects confidence rather than identity.
Read guide →Quality and confidence
Understand why confidence reflects recording evidence and algorithm stability, not confidence in a person’s gender or identity.
Read guide →Local processing, microphone permission, cookies, and privacy verification.
Privacy technology
See how microphone permission, Web Audio processing, local acoustic statistics, and privacy work in a browser-based voice tool.
Read guide →Privacy technology
A step-by-step privacy check for microphone permissions, browser network requests, and optional forms on a local voice analysis website.
Read guide →Privacy technology
Understand the difference between local audio processing, optional email forms, cookies, advertising technologies, and consent choices.
Read guide →Practical ways to avoid misleading comparisons.
Troubleshooting
Discover why pitch and acoustic presentation results vary across recordings and how to make your comparisons more reliable.
Read guide →How to read a presentation reference responsibly.
Using the tool
Learn how to read an acoustic gender-presentation spectrum without mistaking it for gender probability, diagnosis, or identity classification.
Read guide →