App for Chord Sequence Detection

Is a Go-based MIDI client application for capturing and analyzing MIDI events in real-time. Designed for aspiring pianists, it features chord detection and velocity analysis, aiming to evolve into an interactive piano learning tool. With a modular architecture, it supports easy integration of new functionalities. Compatible with macOS and Windows

A Rust port of the real-time chord recognition algorithm described in Adam Stark's PhD thesis. This library provides functionality for chromagram estimation and chord detection from audio input.

🎵 Interactive Camelot Wheel with real-time chord detection via microphone. Perfect for DJs and music theory enthusiasts.

Full-stack music learning web app featuring interactive guitar/piano tools and AI-assisted audio analysis (chord detection + vocal/instrumental separation)

Music Slow Downer, Pitch Shifter, Stem Splitter, Key & Chord Detector, Bar/Beat Detector for Music Practice

Real-time audio analysis toolkit for musicians featuring visualization, multi-instrument tuner, chord detection, spectrum analyzer, smart metronome with BPM detection, and practice tracking. Built with Web Audio API, Flask, and Firebase for Axiom (HackClub YSWS)

Python implementation of chord-detection algorithms