Harmony Scan

The “Harmony Scan” project bridges the gap between AI and music by creating a real-time system capable of recognizing musical notes, instrument types, and sound sources such as acoustic, electric, or synthetic. It captures audio through a microphone connected to a Raspberry Pi using state-of-the-art machine learning models and efficient signal processing techniques, extracts essential audio features, and classifies the note, instrument, and source.

A lightweight backend processes the predictions and seamlessly integrates with a user-friendly frontend that dynamically visualizes the results in real time. This is a project that will empower musicians, educators, and enthusiasts to make the process of music transcription and its analysis more approachable, accurate, and innovative. Harmony Scan enhances creative processes and educational tools and democratizes the use of AI in music.

 

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Project Details

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