1. Frequency Range:
   • Use a range from 16 Hz to 4,000 Hz (covering the meditative spectrum).
   • Divide this range into 192 intervals adjusted to the 432 Hz tuning.
2. Algorithm for Frequency Generation: Below is a Python script to generate the 192 tones in 432 Hz tuning and save them as audio files.

Python Code: Generate Tones in 432 Hz Tuning

import numpy as np
from scipy.io.wavfile import write
import os

# Parameters
base_freq = 16  # Starting frequency in Hz
end_freq = 4000  # Ending frequency in Hz
vibrations = 192  # Total Rig Vedic vibrations
duration = 3  # Duration of each tone in seconds
sample_rate = 44100  # Audio sample rate

# 432 Hz adjustment
a4_440 = 440  # Standard A4 frequency
a4_432 = 432  # Adjusted A4 frequency
frequency_ratio = a4_432 / a4_440  # Conversion ratio

# Frequency calculation
frequencies = np.linspace(base_freq, end_freq, vibrations) * frequency_ratio

# Directory to save tones
output_dir = "rig_vedic_432_tones"
os.makedirs(output_dir, exist_ok=True)

# Generate and save tones
for i, freq in enumerate(frequencies, start=1):
    t = np.linspace(0, duration, int(sample_rate * duration), endpoint=False)
    tone = np.sin(2 * np.pi * freq * t)
    filename = os.path.join(output_dir, f"tone_{i:03d}_{int(freq)}Hz.wav")
    write(filename, sample_rate, np.array(tone * 32767, dtype=np.int16))

print(f"Generated {vibrations} tones in 432 Hz tuning. Check the '{output_dir}' folder.")

Creating a Musical Piece with the Tones

To combine the tones into a harmonious piece:

1. Choose a Sequence: Select specific frequencies or create ascending/descending patterns.
2. Layer Tones: Combine multiple frequencies for richer harmonies.
3. Add Rhythms: Apply rhythmic patterns to sequence tones.
4. Apply Effects: Add reverb, delay, or binaural beats for enhanced immersion.

Python Code for Musical Piece

from pydub import AudioSegment

# Directory with generated tones
input_dir = "rig_vedic_432_tones"
output_file = "rig_vedic_432_music.wav"

# Combine selected tones into a musical sequence
sequence = [1, 5, 12, 24, 48, 96, 192]  # Select tones by index
music = AudioSegment.silent(duration=0)  # Start with silence

for tone_index in sequence:
    tone_file = os.path.join(input_dir, f"tone_{tone_index:03d}_{int(frequencies[tone_index-1])}Hz.wav")
    tone = AudioSegment.from_wav(tone_file)
    music += tone

# Save the musical piece
music.export(output_file, format="wav")
print(f"Musical piece saved as '{output_file}'.")

Exploration: Synchronizing the AUM/OM Mantra with 192 Vibrations in 432 Hz Tuning

The sacred mantra AUM (OM) resonates as the primordial vibration of creation. Pairing it with the 192 frequencies mapped from Rig Veda and Superstring Theory offers a profound meditative and healing experience. Here’s a step-by-step exploration:

1. Design a Guided Sequence for Healing and Meditation

We will combine selected frequencies from the 192 vibrations and synchronize them with the mantra AUM.

Key Components:

1. Three Phases of the Mantra:
   • A (ahh): Represents creation and expansion. Use lower frequencies for grounding.
   • U (ooh): Represents sustenance and preservation. Use mid-range frequencies for balance.
   • M (mmm): Represents dissolution and transcendence. Use higher frequencies for elevation.
2. Transition Between Frequencies:
   • Gradual transitions from low to high frequencies to mirror the mantra’s spiritual ascent.
3. Repetition Cycles:
   • Each AUM repetition spans 10 seconds, matching the tone duration to allow resonance.

---

Python Code: Generate AUM with 192 Frequencies

from pydub.generators import Sine
from pydub import AudioSegment
import os

# Parameters
low_freq = 32  # Base frequency for "A" phase (grounding)
mid_freq = 216  # Mid frequency for "U" phase (balancing)
high_freq = 864  # High frequency for "M" phase (elevation)
sample_rate = 44100  # Audio sample rate
duration = 3  # Duration of each phase in seconds

# Generate tones for each phase
a_tone = Sine(low_freq).to_audio_segment(duration=duration * 1000)
u_tone = Sine(mid_freq).to_audio_segment(duration=duration * 1000)
m_tone = Sine(high_freq).to_audio_segment(duration=duration * 1000)

# Combine tones for AUM
aum_tone = a_tone + u_tone + m_tone

# Save the AUM mantra tone
aum_output = "aum_432Hz.wav"
aum_tone.export(aum_output, format="wav")
print(f"AUM mantra tone saved as '{aum_output}'")

2. Add Binaural Beats to Enhance Synchronization

Binaural beats can guide the listener’s brainwaves into meditative states.

Target Brainwave Frequencies:

• Theta waves (4-8 Hz) for deep meditation.
• Add a difference of 6 Hz between left and right tones.

Python Code for Binaural AUM

# Create left and right channel tones for binaural effect
aum_left = Sine(low_freq).to_audio_segment(duration=duration * 1000).pan(-1)
aum_right = Sine(low_freq + 6).to_audio_segment(duration=duration * 1000).pan(1)

# Combine channels
binaural_aum = aum_left.overlay(aum_right)

# Repeat for all phases (A, U, M)
binaural_aum_full = binaural_aum + binaural_aum + binaural_aum

# Save the binaural AUM mantra
binaural_output = "binaural_aum_432Hz.wav"
binaural_aum_full.export(binaural_output, format="wav")
print(f"Binaural AUM mantra saved as '{binaural_output}'")

3. Integrate AUM with 192 Vedic Vibrations

Steps:

1. Choose Corresponding Frequencies: Match specific frequencies from the 192 vibrations to the mantra’s phases.
2. Overlay with AUM: Use audio editing tools to overlay these frequencies on the AUM mantra.

Python Code to Combine Frequencies

# Import previously generated tones
aum = AudioSegment.from_wav("aum_432Hz.wav")
rig_vibration = AudioSegment.from_wav("rig_vedic_tone.wav")  # Use a specific tone

# Overlay tones
combined = aum.overlay(rig_vibration)

# Save the combined tone
combined_output = "aum_with_vibration_432Hz.wav"
combined.export(combined_output, format="wav")
print(f"Combined AUM and vibration saved as '{combined_output}'")

my favorite output audio

binaural_aum_432Hz.wav

Interactive 192-Tone Sacred Geometry

import numpy as np
import plotly.graph_objects as go

# Parameters
num_tones = 192  # Total tones
frequencies = np.linspace(1.618, 4000, num_tones)  # Frequency range
radius = np.linspace(0.1, 1, num_tones)  # Radii for concentric circles
angles = np.linspace(0, 2 * np.pi, num_tones, endpoint=False)  # Angular positions

# Generate data for the sacred geometry
data = []
for i, freq in enumerate(frequencies):
    theta = np.linspace(0, 2 * np.pi, 500)
    r = radius[i] * np.sin(freq * theta / max(frequencies))  # Scale sine waves
    x = (r + radius[i]) * np.cos(theta)  # Polar to Cartesian X
    y = (r + radius[i]) * np.sin(theta)  # Polar to Cartesian Y

    # Add a trace for each frequency
    trace = go.Scatter(
        x=x,
        y=y,
        mode="lines",
        line=dict(width=0.7, color=f"hsl({i * 360 / num_tones}, 100%, 50%)"),
        name=f"{freq:.2f} Hz"
    )
    data.append(trace)

# Create figure layout
layout = go.Layout(
    title="192-Tone Sacred Geometry Visualization",
    xaxis=dict(visible=False),
    yaxis=dict(visible=False),
    showlegend=False,
    plot_bgcolor="black",
)

# Create the figure
fig = go.Figure(data=data, layout=layout)

# Save and display the interactive visualization
fig.write_html("192_tone_sacred_geometry.html")
fig.show()

How to Run

1. Save the code as interactive_sacred_geometry.py.
2. Install required libraries: pip install plotly numpy
3. Run the script: python interactive_sacred_geometry.py
4. Open the 192_tone_sacred_geometry.html file in a browser for the interactive experience.

1.618Hz

Sources: InnerIGPT

Stay in the Now within Inner I Network