DSP algorithms for chord detection + key estimation

Sync Toolbox - Python package with reference implementations for efficient, robust, and accurate music synchronization based on dynamic time warping (DTW)

Zafar's Audio Functions in Python for audio signal analysis: STFT, inverse STFT, mel filterbank, mel spectrogram, MFCC, CQT kernel, CQT spectrogram, CQT chromagram, DCT, DST, MDCT, inverse MDCT.

Zafar's Audio Functions in Matlab for audio signal analysis: STFT, inverse STFT, mel filterbank, mel spectrogram, MFCC, CQT kernel, CQT spectrogram, CQT chromagram, DCT, DST, MDCT, inverse MDCT.

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.

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

Zafar's Audio Functions in Julia for audio signal analysis: STFT, inverse STFT, CQT kernel, CQT spectrogram, CQT chromagram, MFCC, DCT, DST, MDCT, inverse MDCT.

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

Using MCMC to estimate notes in audio, and comparing to human estimation of chords

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.

Open-source Repository for PyMAiVAR software suit.

Python scripts that plot amplitude, spectrograms and chromagrams for a given mono wav audio file

Python implementation of chord-detection algorithms