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About this blog

A glimpse of the idea and discoveries I've been making in ITC

Entries in this blog

Machine Learning / AI for ITC: A Quick Explanation of Stream 8

My First Forays into Direct Continuous Voice As mentioned previously in my blog, I evolved to direct voice after I noticed that the phonetic samples were getting slightly modified by spirit voices. I reasoned that it should be possible to extract voices directly from a stream of electronically created noise (e.g., radio static). I don’t know the full history of getting continuous (not just occasional) voices from noise, but it turned out that around the time I started this venture a fe

Michael Lee

Michael Lee in Methods

Theories about how spirits connect with our devices

As we observe paranormal activity in our ITC devices and software, the grand question is how is this happening? Zero-point energy In quantum mechanics, the vacuum is not actually empty. It is filled with particle-antiparticle pairs that perpetually go in and out of existence. The lifetime, t, of these pairs is governed by the Heisenberg uncertainty principle: Et >/2. Despite my careless description of a physical concept, it should be noted, no one really knows the density of

Michael Lee

Michael Lee in Methods

Introduction to Hardware Noise sources

Pre-built Electronics The first noise sources I worked with were generated by pre-made electronics: the USB input audio interface turned up to max gain (+46 dB) and a software-defined radio tuned to no radio station/source. Both of these sources produce nearly white noise. White noise means that all of the frequencies are the same magnitude. Both of these sources are probably suitable for noise-gate applications like the phonetic keyboard. However, in order to derive voice directly fro

Michael Lee

Michael Lee in Methods

Formant Detection and Synthesis

Voice compression algorithms utilize the common patterns of human speech to detect (at one end) and synthesize (on the other end) voice communication. Among the common structures of speech is the glottal pulse, which is the buzzing "ah" sound that forms the structure for all vowels and certain voiced consonants (like z, v, and r). White noise is the other base sound for forming phonemes like "s", "sh", and "t". Shaping these two foundational sounds are formants, which are the various resonances

Michael Lee

Michael Lee in Methods

Denoising with Machine Learning

Up until the last few years, the only main techniques for removing noise from signals were based on spectral subtraction. Machine learning (ML) has now become a powerful alternative. It takes advantage of the fact that we know what the denoised signal should roughly sound like. I have a paper on this topic here (I'll add a paper download link).  The general principle is we train the ML to convert (noise + speech) -> speech. I use a database of 140,000 seconds of "books on tape." I add ra

Michael Lee

Michael Lee in Methods

Denoising with Spectral Subtraction

If you're doing direct voice ITC, you'll probably be wanting denoise the signals your capturing. The goal of denoising is to remove noise from a voice signal, or equivalently enhance the non-noise, or speech that may be embedded in a hardware noise source. Of all of the methods for denoising a signal, spectral subtraction is the oldest, and most well-known. As the term, spectral, would imply, it involves converting a time-based audio stream into a frequency-based (spectral) vector using the

Michael Lee

Michael Lee in Methods

Direct Voice

After developing and experimenting with the phonetic typewriter, which is a noise-gated stream of user-supplied speech-like sound, I noticed that at times, it seemed like there was a mix of the expected audio and something else. This gave me reason to believe that there could be voices directly from the noise itself. Direct voice, as it were, corresponds to extracting the voices from the noise with no extra audio added in. This method is indeed the original method of spirit communication /

Michael Lee

Michael Lee in Methods

Early video of my phonetic typewriter (January 2019)

Before I make a video showing the phonetic typewriter with my new Python noise gate, here's a video of my original phonetic typewriter using the Maximus noise gate in FL Studio from January 2019. Originally, the stream of audio was alternating between 150 ms speech and 150 ms silence. The gate opened for 100 ms when it detected a high sample. The audio stream I used was always the same recording, starting from the beginning.  

Michael Lee

Michael Lee in Methods

Noise Gating (aka the Phonetic Typewriter)

Noise gates are an integral part of most ITC systems. They are a subset of something called expanders, whose job is to expand the dynamic range of a certain ranges of the signal. Below a gate, noise is attenuated. Above the gate, the signal is amplified to achieve more clarity.  If you listen to the raw sound of a typical entropy / noise source, it's sounds pretty boring, as if there's nothing interesting or "paranormal" going on. However, when you expand or noise gate the signal, you empha

Michael Lee

Michael Lee in Methods

The Phonetic Typewriter

When I first started in ITC, I followed the strategies of the tried and true like software Ghost Boxes, but realized I could do better, a lot better... The phonetic typewriter is one of the most popular methods in use by EVP researchers today. However, other ITC researchers may not use that term. They might instead call it a Ghost Box or a Spirit Box. The general concept is that short clips of regular human speech (forward, reverse, from radio, etc.) or similar sounds are used as a base sig

Michael Lee

Michael Lee in Methods

A transition from astral projector to ITC inventor

For many years, I've seen myself as one of those special people who can visit the spirit realms at night during my dreams. So special, that frankly, no one, besides myself, really cares. I could tell you any of the adventures I've had and you'd either think I was going crazy or I was already there.  You see, it's one thing to report to what I'm seeing and hearing and it's another to see it and hear it yourself. Years ago, I dreamt about researchers somehow tapping into my brain while I was

Michael Lee

Michael Lee in Methods

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