Counting musical intervals in large scale.

Datasets of metabolic profiles of coffees from different species and origin

Extract phrasal data from MIDI files with Python

A Python implementation of the algorithm proposed by Wang (2003) for automatic identification of song-title based off of an audio-fingerprinting approach. This algorithm is what the 'Shazam' application is based upon.

HAMR 2020 Project - A Tool for Predicting Music Success

Music Information Retrieval Final Project. Comparing a single-task and a multi-task CRNN model for Automatic Drum Transcription. Evaluation on the Groove MIDI Dataset.

A python package for midi clip ✂️

MIR wrapper for V

A Shiny App to Retrieve Daily Top 200 Spotify Charts with Audio Features in Real-Time

buffer protocol interface for Python and D

Modern Information Retrieval Project

Vst3 audio analyzer plugin, using Essentia library algorithms

Accompanying code for the paper 'Graph Neural Network vs Feature-Based Folk Music Evolution Analysis' (Deedman and Barthet, 2025) presented at EvoMUSART 2025. The full processed dataset, collected for this project entitled 'BFDB: A dataset of British Folk melodies in ABC Format.' can be found at: https://zenodo.org/records/14692025

A real time music information retrieval server powered by essentia

DAW + API for music research and collaboration

This is a docker image that extends the MIR-toolbox-docker docker image. The MIR-toolbox-docker image runs an ipython notebook server with as set of MIR python packages and MTG's music/audio analyis library Essentia. We provide in here a way of to facilitate extending the base image with new requirements.

Music Information Retrieval Basics Notebooks

This repository contains a feature extraction pipeline for extracting rhythm features from audio files. The extracted features include tempo, downbeats, beats, micro-timings, and onset loudnesses.

Web audio analyzer and MIR application