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Post by reden on Jul 31, 2022 6:19:46 GMT
We hear them everywhere. Sounds are made and composed out of frequencies. There are high frequencies and low frequencies too. High is generally energetic, joyful, loud music. Low is generally bassy stuff, "filthy" music, as well as reggae/ton, hiphop, trap (what an irony)&so forth. There are also tuned frequencies. 444*2=888 888*2=1776 Now 1776 Hz is 4 times stronger, faster to cause effects, better, etc. than just 444 Hz. These increases can also be called harmonics. They can go on infinitely. We can also multiply frequencies by 3, 6, or 9, and their derivates. Nikola Tesla said they are the key of the Universe. But not by 33. And they must not be divisible by 13 and/or 33. 13 is an evil number. 33 very likely is too. Edit: Actually, 33 might be good as it is the Christ Consciousness and the Inner Pyramid Frequency. I had said it was evil due to its masonic connections. The evil number would be 39 (13*3), as well as 777 777 (666 and 616.) 777 777 444*36=15984 Hz. Useful frequencies: 444=Peace, tranquility and power. 432=Peace and tranquility. Most solfeggios=each one has its effect. An exception, perhaps 741 Hz which was accused of being diverted/controlled/polluted by the saturn black cube. 15984=If i recall right, it was good for the heart. Connects you to it and removes negative feelings. 17253=Super strong heart frequency. 11988=Immortality threshold. Above this frequency you may ask your DNA for immortality. Then it will spin faster and faster until reaching lightspeed, lengthening all telomeres and repairing all dna damage instantly. 18322.2=One of the strongest Earth frequencies, derived from 7.83. 15552=432*36, was used by my mentor in his apps. Edit: New frequencies 18792=Stronger Earth frequency, *2400 as opposed to *2340 18175.68=Sun frequency, 32nd Earth year, Solar Plexus Chakra. "(Effects=advances the feeling of centering of magic & of the transcendental)" 18582.48=Platonic year, Crown Chakra (Effects=joyful, cheerful, spiritual effect, cheerfulness, clarity of spirit, cosmic unity on highest levels, antidepressive) You can use sine wave generators to create and listen to them. 17919.63= Venus frequency, Third Eye Chakra, *81 instead of *84 given that the latter was .32, close to slipping into .33 (Effects=beauty, love, sexuality, sensuality, harmony, supports higher love energy and aspiration for harmony) There's a page called Lunarsight which contains a vast amount of frequencies, queried to 4-5 different knowledgeable people over a period of ~5 years IIRC: www.lunarsight.com/freq.htmThe reason the ones I listed are all under 20000 Hz is so that they can be reasonably played by most available headphones and speakers. Using scalar wave machines, we can go even higher, up to MHzs (millions of Hz) and maybe still more. |
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Post by reden on Oct 3, 2022 21:03:35 GMT
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Post by reden on Mar 29, 2024 0:12:46 GMT
Frequencies for retuning music:
Christ Consciousness 495 Hz 33*15
Golden ratio 446.577380894970744 1.618...*276, 15 decimals
33*12 is 396. The christ consciousness and the pyramid frequency are aligned with Solfeggio 396
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Post by reden on Mar 30, 2024 0:38:28 GMT
I wonder if a ultra high frequency tone such as 90000 hz or whatever can still work even if the speaker cannot play it at all... after all, we proved here sounds created by an utility set to 0% still have power.
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Post by reden on Mar 30, 2024 0:46:35 GMT
18792 Hz, 7.83 (earth frequency)*2400, is also 174*108 Solfeggio for healing pain and calming and soothing. That's great.
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Post by AnthroHeart on Mar 30, 2024 1:36:58 GMT
Why not play several frequencies at the same time for harmonics? Would that be more beneficial?
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Post by Victronyx on Mar 30, 2024 2:19:45 GMT
Hi Reden, If you want to experiment with ultra-high frequencies, I've made this simple python program that is able to generate an audio file with a specified frequency and duration. Technically, the maximum hz you can input into this software is 1152000hz because the maximum sample rate is 2304000 samples per second (2304000/2). To use it, you'll need to install numpy and scipy (pip install numpy scipy). I'd recommend generating files that are shorter than 30 seconds because of the filesize. ![]() import numpy as np
from scipy.io.wavfile import write
def generate_sine_wave(freq_hz, duration_sec, filename):
# Set the sample rate (increased to 2304000 samples per second)
sample_rate = 2304000
# Set the time points for the waveform
t = np.linspace(0, duration_sec, int(sample_rate * duration_sec), endpoint=False)
# Generate the sine wave
sine_wave = np.sin(2 * np.pi * freq_hz * t)
# Scale the waveform to 16-bit range (-32768 to 32767)
scaled_wave = np.int16(sine_wave * 32767)
# Write the waveform to a .wav file
write(filename + '.wav', sample_rate, scaled_wave)
if __name__ == "__main__":
freq_hz = float(input("Enter the exact frequency in Hz: "))
duration_sec = float(input("Enter the audio file duration in seconds: "))
filename = f"{freq_hz}Hz_Frequency"
generate_sine_wave(freq_hz, duration_sec, filename)
print(f"Generated {filename}.wav successfully.")The program seems to work, I feel stimulations specifically in the heart when I generate 90000hz audio file and higher. According to Claude AI, it could be possible to set the sample rate variable to a higher number, but it's limited by the capabilities of our hardware. The libsndfile library has a theoretical maximum sample rate of 192,000,000 hertz (192 MHz). Maybe there are other programming languages that are more optimized for handling higher sample rates and audio processing tasks. |
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Post by reden on Mar 30, 2024 3:29:32 GMT
Why not play several frequencies at the same time for harmonics? Would that be more beneficial? I can do that raw, but I could not get ffmpeg to directly create them. However, I could generate multiple files containing 1 frequency each, and merge them all in into the main one. |
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Post by reden on Mar 30, 2024 3:56:41 GMT
Hi Reden, If you want to experiment with ultra-high frequencies, I've made this simple python program that is able to generate an audio file with a specified frequency and duration. Technically, the maximum hz you can input into this software is 1152000hz because the maximum sample rate is 2304000 samples per second (2304000/2). To use it, you'll need to install numpy and scipy (pip install numpy scipy). I'd recommend generating files that are shorter than 30 seconds because of the filesize. ![]() import numpy as np
from scipy.io.wavfile import write
def generate_sine_wave(freq_hz, duration_sec, filename):
# Set the sample rate (increased to 2304000 samples per second)
sample_rate = 2304000
# Set the time points for the waveform
t = np.linspace(0, duration_sec, int(sample_rate * duration_sec), endpoint=False)
# Generate the sine wave
sine_wave = np.sin(2 * np.pi * freq_hz * t)
# Scale the waveform to 16-bit range (-32768 to 32767)
scaled_wave = np.int16(sine_wave * 32767)
# Write the waveform to a .wav file
write(filename + '.wav', sample_rate, scaled_wave)
if __name__ == "__main__":
freq_hz = float(input("Enter the exact frequency in Hz: "))
duration_sec = float(input("Enter the audio file duration in seconds: "))
filename = f"{freq_hz}Hz_Frequency"
generate_sine_wave(freq_hz, duration_sec, filename)
print(f"Generated {filename}.wav successfully.")The program seems to work, I feel stimulations specifically in the heart when I generate 90000hz audio file and higher. According to Claude AI, it could be possible to set the sample rate variable to a higher number, but it's limited by the capabilities of our hardware. The libsndfile library has a theoretical maximum sample rate of 192,000,000 hertz (192 MHz). Maybe there are other programming languages that are more optimized for handling higher sample rates and audio processing tasks. The DSD audio format supports up to 2.8MHz, 5.6MHz and 11.2Mhz sample rates, but it's fundamentally different than all other audio formats as it's only a bunch of 1 bit flickered at an ultra fast speed, instead of being 16/24/32 bits as others; and using PWM (Pulse Width Modulation), instead of PCM (Pulse Code Modulation): the wave is simulated through turning the 1 bit on and off at the mentioned speeds. People say it can sound better than FLAC even, but that many players subtly transform the sound into WAV or anything else as it's less cumbersome to deal with. Ffmpeg, a command line audio tool, can simply create WAVs with up to 2,147,480,000 (2.1 GHz, so 1.2 given Nyquist effect) sample rate, and thus frequency. The command is ffmpeg -f lavfi -i "sine=frequency=1000000000:sample_rate=1000000000:duration=1" test.wav That example is an 1 GHz frequency with 1 GHz sample rate; due to Nyquist (only half the sample rate can be used in an audio file) it "might not be usable. 1 second will roughly take 38-48 MB storage. |
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Post by reden on Mar 30, 2024 4:11:10 GMT
The largest commonly seen "normal" sample rate is 384000 Hz (192000 "usable"), which can be used by flac and so forth.
Flac's true maximum might be 655350 Hz (327675 Hz "usable"), which is far preferable to WAV as 1 second of it is only 24 kb!
I also encoded it as f32le and f64le, which took up 2560 and 5120kb for 1 second respectively. Edit: but in reality they were some bizarre file, not true flac.
Once upon a time if you didn't specify it reencoded to 24 bits.
We don't need that many bits as 32 or 64, even audacity supports 24 at most.
The proper command seems to be ffmpeg -y -hide_banner -f lavfi -i "sine=frequency=323568:sample_rate=655350:duration=6" -af "aformat=s32:655350" -compression_level 12 test.flac
The s32 actually is 24 bits padded to 32 due to how FFMpeg's encoder works compared to the Flac project's official one. But it's not a concern, as I had said.
Edit: The absolute peak for wav seems to be 4.3 GHz according to Wikipedia. But specialty tools might be needed for that.
Edit 2: For lowering volume, you might try with -af "aformat=s32:655350,volume=0.80" and 0.80 is 80% of 100.
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Post by reden on Mar 30, 2024 4:40:05 GMT
Here's a flac containing the 323568 Hz frequency, which is 963*336, for 6 seconds. Attachments:test.flac (984.39 KB)
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Post by AnthroHeart on Mar 30, 2024 9:01:58 GMT
The largest commonly seen "normal" sample rate is 384000 Hz (192000 "usable"), which can be used by flac and so forth. Flac's true maximum might be 655350 Hz (327675 Hz "usable"), which is far preferable to WAV as 1 second of it is only 24 kb! I also encoded it as f32le and f64le, which took up 2560 and 5120kb for 1 second respectively. Edit: but in reality they were some bizarre file, not true flac. Once upon a time if you didn't specify it reencoded to 24 bits. We don't need that many bits as 32 or 64, even audacity supports 24 at most. The proper command seems to be ffmpeg -y -hide_banner -f lavfi -i "sine=frequency=323568:sample_rate=655350:duration=6" -af "aformat=s32:655350" -compression_level 12 test.flac The s32 actually is 24 bits padded to 32 due to how FFMpeg's encoder works compared to the Flac project's official one. But it's not a concern, as I had said. Edit: The absolute peak for wav seems to be 4.3 GHz according to Wikipedia. But specialty tools might be needed for that. That sounds like it would be for recording data rather than audio at that rate. |
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Post by nathanmyersc on Mar 31, 2024 21:34:54 GMT
Hi Reden, If you want to experiment with ultra-high frequencies, I've made this simple python program that is able to generate an audio file with a specified frequency and duration. Technically, the maximum hz you can input into this software is 1152000hz because the maximum sample rate is 2304000 samples per second (2304000/2). To use it, you'll need to install numpy and scipy (pip install numpy scipy). I'd recommend generating files that are shorter than 30 seconds because of the filesize. ![]() import numpy as np
from scipy.io.wavfile import write
def generate_sine_wave(freq_hz, duration_sec, filename):
# Set the sample rate (increased to 2304000 samples per second)
sample_rate = 2304000
# Set the time points for the waveform
t = np.linspace(0, duration_sec, int(sample_rate * duration_sec), endpoint=False)
# Generate the sine wave
sine_wave = np.sin(2 * np.pi * freq_hz * t)
# Scale the waveform to 16-bit range (-32768 to 32767)
scaled_wave = np.int16(sine_wave * 32767)
# Write the waveform to a .wav file
write(filename + '.wav', sample_rate, scaled_wave)
if __name__ == "__main__":
freq_hz = float(input("Enter the exact frequency in Hz: "))
duration_sec = float(input("Enter the audio file duration in seconds: "))
filename = f"{freq_hz}Hz_Frequency"
generate_sine_wave(freq_hz, duration_sec, filename)
print(f"Generated {filename}.wav successfully.")The program seems to work, I feel stimulations specifically in the heart when I generate 90000hz audio file and higher. According to Claude AI, it could be possible to set the sample rate variable to a higher number, but it's limited by the capabilities of our hardware. The libsndfile library has a theoretical maximum sample rate of 192,000,000 hertz (192 MHz). Maybe there are other programming languages that are more optimized for handling higher sample rates and audio processing tasks. how do you play these frequencies? The max on my computer turned out to be 1764000 and i had to use pygame to play the audio no audio player or browser supports above 767500 on my device. |
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Post by reden on Apr 6, 2024 22:48:55 GMT
Reden
If you put this number 89881553448 in Repeater, do you feel grounded?
Or "89881553448 frequency"?
AnthroHeart
Not really, it makes me feel a little delirious in the heart.
I ran "89881553448 Hz".
Reden
Interesting
It is 17253*5,209,618 times
Which was the love frequency I wrote about in the frequency thread.
81*27=2187 and I multiplied the frequency by 2187 until it got really high
The human dna base frequency is like 700 Hz, and rising past this is helpful for ascension, as well as toggling powers such as Aerokinesis (air control), elemental control, levitation (+ flight) and more.
Edit: Bashar had said 4D is at 100,000 Hz, so I wonder just how deep into 5D those multi-MHz frequencies are.
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Post by reden on Apr 7, 2024 1:34:43 GMT
I used the intention 82520564157 89881553448 10073320134489 4075089588 2525407632 frequency Hz and highest frequency
82520564157= 17253*4,782,969
89881553448= 18792*4,782,969
10073320134489= 963*10,460,353,203
4075089588= 852*4,782,969
2525407632= 528*4,782,969
It was helpful
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