The program will convert a sound file to text, with the purpose of analyzing it to spot intelligible words. Use the program with songs, soundtracks, movie or TV dialogue, private recordings, to reveal the hidden text messages of the recorded sound. The resulting text will be a long string of mostly repeating characters but, every so often, you’ll notice an intelligible word, either spelled normally or with repeated letters, missing letters or anagrammed letters. It takes a little allegoric-freudian psychological exegetic ability to elaborate the right chain of mind associations to infere a convincing interpretation of the resulting text. You may want to share the text with a psychologist to get a professional opinion on your interpretation, but sometimes the meaning will be surprisingly obvious.
Because of my coding skills limitations, the program requires a little collaboration on the user side, as the sound file must be mandatorily in a certain format, obtainable by converting it through the aid of a sound editing program such as free and open source Audacity.
Click the button below to download the Windows executable and the Python source code from GitHub.
- open Audacity
- open the sound file
- Select – All
- Effect – Normalize – Set peak amplitude to 0.0 – OK
- Set Project Rate (Hz) to 8000 Hz
- Export – Export as WAV
- Save as type – Other uncompressed files
- Header: WAV (Microsoft)
- Encoding: Unsigned 8-bit PCM
Now load the sound file into the program:
- Open the program, click on Edit – Open or CTRL+O.
The resulting text will appear in the text window. The window will display only the first 20.000 characters, which you can copy through File-Copy or by rigth clicking on it or CTRL-C. If you want to read the whole text you must save it, through the Save command in the File menu or CTRL-S.