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

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

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.

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

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

Python implementation of chord-detection algorithms

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)

Visual Music Chord name with MIDI support