Automatic Chord Recognition tools - ISMIR2021 Late-Breaking Demo presentation

Android musical application with real-time chord recognition.

Pytorch project accompanying the paper "Training Deep Pitch-Class Representations With a Multi-Label CTC Loss", ISMIR 2021.

A Typescript port of Adam Stark's C++ implementation of the chord recognition algorithm described in the paper : Real-Time Chord Recognition For Live Performance, A. M. Stark and M. D. Plumbley.

Mobile app library for musical chord recognition and generation

Recognize chords in songs using Bidirectional Transformer || AI Cup 2020 - Chord Recognition Competition (9th place) / 和弦辨識競賽 (第九名)

Detects chords from midi input

Java automatic chord recognition with neural network and digital signal processing.

A configurable, multi-threaded, real-time chord detector in C++ and Python.

This file can recognize chords or pitch by getting audio. A Tkinter UI window is created for easy use.

Keras project accompanying the paper "Learning Pitch-Class Representations from Score--Audio Pairs of Classical Music", ISMIR 2021.

extract chords from an audio file (using ohollo/chord-extractor & Chordino)

This MATLAB code creates a graph of all possible four-note chords in specified scales, performs a random walk on the graph, and outputs the results to a LaTeX file using PSTricks, which the user then compiles into an eight-page exercise in chord voicings and modulation for guitar. (See the PDF file for a completed example.)

Chordy - A tool for musical analysis, chords-keys-harmonics-rythm-BPM and all of the data management.

Chordyzer - Tool for musical analysis, chord extraction and database managment (Could be a real alternative to Chordify.net, but Free, Offline and Easy)

Chordler is an open source tool for annotating music datasets.