Is my voice masculine or feminine? Upload a recording and AI reads the three signals listeners use — pitch, resonance, prosody — and places your voice on the spectrum. Useful for self-check, voice acting, and gender-affirming voice training.
Select the AI model for audio analysis. Different models may have different capabilities.
Record audio directly from your microphone
Is my voice masculine or feminine? This AI listens to a short recording and reads the three signals listeners actually use to gender a voice: average pitch (fundamental frequency, F0), vocal tract resonance (formants), and intonation patterns (prosody). It places your voice on the masculine-androgynous-feminine spectrum and returns the specific acoustic readings behind that placement. Voice doesn't have a gender. Voices have acoustic properties that listeners interpret. The AI isn't classifying you, it's estimating how listeners would perceive your voice based on the same signals a trained speech-language pathologist would measure. Useful as a curiosity check, for voice acting practice, and as a feedback tool for anyone doing gender-affirming voice training.
Record yourself reading or speaking naturally for at least 5 to 10 seconds. The AI runs three layers of acoustic analysis. Pitch (F0): the average and range of your speaking pitch in Hz. Listeners typically perceive voices below about 155Hz as masculine, above about 175Hz as feminine, with an overlap zone in between. Resonance: formant frequencies that come from vocal tract shape. Lower formants read darker and more chest-anchored, which listeners typically perceive as masculine. Higher formants read brighter and more head-anchored, which listeners typically perceive as feminine. Resonance often matters more than F0 alone. Prosody: how your pitch moves through sentences. More dynamic variation and rising terminal contours read feminine. Flatter contours and falling endings read masculine. The result is a spectrum placement plus the specific Hz and contour readings, so you can see exactly which signal pushed the result in which direction. Useful as before-and-after feedback during voice training.
Upload or record a short clip and the AI places your voice on the masculine-to-feminine spectrum as listeners would perceive it, then shows the readings behind the placement: your average pitch, your resonance character, and your intonation patterns. You see which signal is doing the most work, which is the actionable part.
No. It describes how listeners are likely to perceive the acoustic properties of a recording, nothing more. Your gender is not something an audio tool can measure. The analysis is framed as perception feedback precisely because that's all a voice carries: signals people interpret, not facts about who you are.
Yes, it's built with that use in mind. Because the result separates pitch, resonance, and prosody, you can see which lever is moving your perceived placement and target practice there (resonance is usually the underrated one). Record under the same conditions each time and compare placements across weeks for honest progress tracking.
That your readings sit in the overlap zone where listeners genuinely disagree, often with signals pointing in different directions (say, lower pitch but bright resonance and dynamic intonation). The analysis describes that mix rather than forcing a binary call. If androgynous is your goal, the breakdown shows how close each signal sits to the ambiguous range.
Two limits worth knowing. Mics shape the signal: phone and laptop mics thin out low frequencies, which can nudge a voice brighter than it sounds in person. And perception itself varies by listener and context, so the spectrum placement is a well-grounded estimate of typical perception, not a universal verdict. Record close, quiet, and natural.
At least 5 to 10 seconds of continuous natural speech, and 20 to 30 is better. Prosody needs full sentences to show up, so read a paragraph or talk about your day rather than saying one word. Sustained vowels alone miss the intonation layer entirely, which is a third of the analysis.
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