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Exploring Audio with 3D Visualization in Python

In the past few days, I’ve been testing an approach to translate sounds into visual data structures, creating interactive plots that draw themselves in real time as the audio plays.
Audio pre-processing (normalization and mono conversion).
Spectral analysis with STFT (Short-Time Fourier Transform) to capture the evolution of frequencies over time.
Extraction of spectral features:
Spectral Centroid → center of mass of the spectrum (related to the “brightness” of the sound).
Spectral Spread → dispersion around the centroid (how spread out the frequencies are).
Spectral Flatness → measure of tonality vs. noise (tonal sounds ≈ 0, noisy sounds ≈ 1).
Interactive 3D rendering with Plotly, where:
X-axis = time (s)
Y-axis = centroid (Hz)
Z-axis = spread (Hz)
Color = flatness (heatmap)
Integration with an audio player in HTML so the visualization is drawn in sync with audio playback.

#python
#codinglife
#numpy
#ploty
#inteligencia
#artificialintelligence
#colab