EVP & Pareidolia Analyzer

EVP & Pareidolia Analyzer | Lupine Protocol

EVP & Pareidolia Analyzer

This tool is designed for the critical analysis of potential Electronic Voice Phenomena (EVP). It provides a suite of functions to help an investigator differentiate between a genuinely anomalous voice and auditory pareidolia—the brain's natural tendency to perceive meaningful patterns in random noise.

1. Load Audio

2. Analysis Tools

Status

Awaiting audio file...

Upload an audio file to begin analysis

How to Use the Analyzer

  1. Load Audio: Upload a recording, preferably a short clip containing static or ambient room tone where an EVP is suspected. A full waveform of the audio will appear.
  2. Noise Gating: This tool silences all sound below a certain volume. Slowly slide the "Noise Gate Threshold" to the right to filter out background hiss. Faint, whisper-like sounds may become more prominent and easier to distinguish.
  3. Random Sequence Test: This is a powerful test for pareidolia. The tool will chop the audio into tiny, half-second clips and play them back in a completely random order. Listen carefully. If the "voice" or phrase you heard before is now gone, it was very likely your brain creating a pattern that wasn't truly there. If you can still hear the same word or phrase even when the clips are randomized, it is a much stronger indicator of a genuine anomaly.

Investigative Use Cases

Challenging Auditory Pareidolia

The human brain is hardwired to find patterns, especially human speech. This is why we hear "voices" in the noise of a fan or the static between radio stations. The **Random Sequence Test** is designed to break this pattern-matching ability. By scrambling the audio, it disrupts the sequence your brain was using to form a word. A real, embedded voice should persist even when scrambled; a perceived voice will vanish.

Isolating Faint Phenomena

Genuine EVPs are often reported as being very faint, just at the edge of hearing. The **Noise Gate** is a classic audio engineering tool used to clean up recordings. By setting the threshold just above the level of the background hiss, you can isolate these faint sounds. This helps to confirm that the sound is a distinct event and not just a fluctuation in the static.

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