Automatic Chord Recognition tools - ISMIR2021 Late-Breaking Demo presentation
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Updated
Apr 9, 2023 - Jupyter Notebook
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.
Keras project accompanying the paper "Learning Pitch-Class Representations from Score--Audio Pairs of Classical Music", ISMIR 2021.
This file can recognize chords or pitch by getting audio. A Tkinter UI window is created for easy use.
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.)
Chordler is an open source tool for annotating music datasets.
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