Coming Soon

I'm currently building a cutting-edge music visualization tool designed to transform instrumental audio into dynamic visuals. This project merges audio signal analysis, machine learning, and creative animation to craft an engaging visual experience powered by the inner workings of sound.

Leveraging libraries like Librosa, Essentia, TensorFlow, and Matplotlib, the system analyzes a wide range of musical features and maps them to visual properties in an expressive, intuitive way.

Each song is transformed into a vivid animation of moving, fading, and color-shifting splotches that react to various musical elements.

The following audio features are analyzed and mapped to specific visual attributes:

• Pitch: X-position of the splotch, relative to pitch range of the full song
• Dynamics: Y-position of the splotch, showing the local loudness variation
• Mood: Overall color scheme of the entire animation
• Timbre: Hue within the chosen mood palette per splotch
• Tempo: Fade duration of each splotch
• Articulation: Size of the splotch

Stay tuned! Launching this summer with upload support, mood presets, and interactive controls.