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Michael Lee

iDigitalMedium Research Team
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Michael Lee last won the day on March 27

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  1. Andres, Great work! From time to time, I hear "myself" There, too. Pretty crazy! Could be fragment, previous / future personality, etc. If you think about it, though, they need someone like yourself on the other side explaining to everyone what you're doing .
  2. Reversal is possible. Its been a while since Ive looked into that. It could be that the ML is jumbling together phonemes to match the source noise. So it might sound like "reversed" speech, but its just gibberish.
  3. I've been contemplating using a piezo aquarium water bubbler. We must be all subscribed to the same spirit newsletter.
  4. Jeff, Nice link, too! It looks like the electrochemical cell between two metals, copper and aluminum produces an audible voltage fluctuation that includes dynamic tones. Why is it all the oldest electronics concepts produce the best ITC? -michael
  5. Audible electrolysis? This is very nice. I've always wanted to "listen to bubbles", but didn't have the right setup. - If so, the addition of sodium chloride or any ionic salt would increase conductivity and bubbling. Don't want to run NaCl-water all day as it could produce noxious gases - Also, pure water is not conductive. The slightest impurities provide conductance. - The shape of the electrodes would effect bubble (possibly noise) production: for example surface area is important. - Sound reminds me of my 1/f avalanched LED's, but your spectrum is not 1/f below 700
  6. Great discussion! Stefan Bion, according to Keith, is no longer active in ITC, as he now follows the path of his religion. I had no idea that he worked on the electronic side, as I only know him from his exemplary software program, EVPMaker.
  7. The relative volume could be causing the quantization, as you said. Or, they really only can activate roughly equal sized pulses (1-bit) like shot noise.
  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 few years back, I met Keith Clark, who has been running a direct voice from noise stream since the lat
  9. Jeff, Generally speaking, I haven't spent much time on the phonetic typewriter as I've switched to machine learning assisted "direct voice." However, I agree with you that this work does subtly reveal the abilities and limits of spirit influence for a given hardware system.
  10. Sean, Welcome! I see you have an impressive list of publications. Hopefully, this forum will spur some new collaborations in this important, but sparsely studied field. -michael
  11. Jeff, I should point out that spirits don't have to share their voice directly - they are also capable of activating phonemes or even converting their voice into frequency space. What they are limited to, however, it appears to me, is spikes of energy, at least with the hardware we have given them.
  12. The general method is to figure out how a spirit voice is corrupted when we hear it directly from our noise-generating devices and then train a machine learning model to reverse the effect. Specifically, I have found at least three corruption processes: (1) the spirit signal is often heavily buried in noise (i.e. additive noise). 2) the spirit signal is "quantized" or in other words it sounds like it's (e.g.) 2 to 4-bit audio vs. clean 16-bit audio. 3) the signal is "sparse" or missing a lot in time - instead of hearing a smooth waveform, we are randomly getting 10-20% of the ti
  13. Here's some "greatest hits" from the last year : youre_getting_good_voice_now.wavtotally_fine_with_us.wavsuch_a_great_signal.wavthis_is_so_exciting.wavisnt_portal_so_fun.wavstop_mixing_it_directly.wav
  14. Jeff, Although a little off topic from the original question, I agree with your understanding that spirits utilize the sounds available to them. This can actually be stated mathematically as convolution: roughly speaking they can slightly change the volume of the individual frequency components of environmental sound. I recently experimented with two microphones and several projected sounds (testing one at a time) from a speaker. Then using microphone cancellation and machine learning to disentangle the original voice. I like to think of the played sound as having two function
  15. One technology that the commercial space has been exploring is microphone arrays for smart devices like the Amazon Echo. The idea is that multiple microphones better cancel out environmental noise and reverberation leading to a clearer voice for speech recognition. What would be the benefit for ITC? Localized spirit voices? Improved signal-to-noise? It's not easy to make a microphone array, so the argument for pursuing this would have to be compelling. BTW, I have played with two microphone setups. This is easy to do and does help with sound cancellation if there is a localized audio
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