Listening examples · October 27, 2026

Real vs AI Voice Examples

Listen to two human recordings and two AI-generated English clips. Source labels tell you how the files were made; they are not detector verdicts.

This small demonstration lets you compare real speech and synthetic narration directly. It does not report detection scores or an accuracy rate.

Listen to the human recordings

The site owner supplied these two recordings and identified them as their own real speech recorded in Mac Voice Memos. These are demonstration recordings, not recordings collected from customer uploads. The original files use mono AAC audio at 48 kHz. Location-based filenames have been replaced with neutral sample names.

Listen to the AI-generated clips

Both clips use Kitten TTS through OfflineTTS with the Hazel preset, 1.0x speed, and WebGPU processing. They were exported as mono 24 kHz PCM WAV. These are preset synthetic voices, not voice clones. The scripts below are the text entered for synthesis, rather than independently verified transcripts of the human files.

How were these samples prepared?

The human files retain their original audio encoding; recording-level container metadata was removed for privacy. The generated WAV files were exported directly from the synthesis tool. We applied no additional noise removal, music, pitch changes, or speed edits to these published samples. The different voices, recording conditions, and file formats mean this is not a controlled experiment that isolates only the effect of synthesis.

The generation interface exposed the model family and settings, but not an exact model build identifier. File sizes and SHA-256 checksums are available in the sample manifest. Keeping source information separate from a detector result makes it clear what is known and what has not been measured.

What should you listen for?

Listen to pauses, sentence endings, breath sounds, emphasis, and transitions between words. These features can help describe a clip, but no single audible characteristic reliably proves that speech is synthetic. Human speech may sound unusually steady, and generated speech may contain breaths, hesitation, or expressive changes.

Try both passages instead of choosing only the phrase that sounds most artificial. An unfamiliar accent, a stumble, or polished delivery is not proof of generation. Recording hardware and compression can also change what you hear. Because the human speaker and the generated preset are different voices, differences between them cannot all be attributed to synthesis.

What can you conclude from four clips?

These files provide a small, accessible listening reference with stated origins. They do not establish detector performance on other speakers, generators, voice clones, languages, phone calls, or noisy recordings. No detector was run for this page. We therefore do not report successful detections, false positives, false negatives, or accuracy percentages.

For a suspicious message, confirm the sender through a contact method you already trust. For a podcast or video, ask for the original recording and disclosure of synthetic narration. Read our accuracy and result interpretation guide before treating a score as evidence. You can also return to the AI Voice Detector to check audio you have permission to submit.

Voice example questions