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

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

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

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

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.

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.)

Prototype AI-driven web application that analyzes and transcribes musical compositions by extracting notes and chords from audio files. The system employs advanced machine learning and audio processing techniques.

Chordler is an open source tool for annotating music datasets.