Full-stack song recognition application with audio fingerprinting and hum to search (QbSH) modules

Audio feature extraction for JavaScript.

A JavaScript module for searching music scores.

Master thesis Structured Auto-Encoder with application to Music Genre Recognition (report)

Tools can detect the infos of tempo, beat, meter.

Master thesis Structured Auto-Encoder with application to Music Genre Recognition (code)

Key finder for evaluating different genres of music.

Automatically generate a music video by extracting scenes from another video

Music tagger with GUI that parses wikipedia for information. Can also download album art and lyrics.

Network Analysis of Generalized Musical Spaces

Python script for analyzing and tagging music files by key and BPM

Code for the paper Musical Voice Separation as Link Prediction Modeling a Musical Perception Task as a Multi-Trajectory Tracking Problem

An (optimized) implementation of the music DR measurement (compliant with http//dr.loudness-war.info/), it supports CUE sheets and is faster than all currently available alternatives (at the time of writing, not sure about now)

Python implementation of the "Shazam" algorithm

Audio-to-Score Alignment Using Deep Automatic Music Transcription

Detecting segments belonging to which song in database, and return Nil if does not exist in a database.

Generate vector embeddings for music

Multi-Modal Chorus Recognition for Improving Song Search

Audio processing by using pytorch 1D convolution network

A PyTorch lightning version of Demucs with Hydra and Tensorboard features

PyTorch Dataset for Speech and Music audio

Awesome Datasets for Music Recommendation

A semantic and technical analysis of musical scores based on Information Retrieval Principles

Unsupervised blind source separation of mixed images and sounds with variational auto-encoders.

Easily access song lyrics from Genius in a tibble.

Matlab feature extraction scripts for the Timbre Tollbox, MIR Toolbox and the Essentia Framework

Matlab implementation of the: J.R. Zapata, M. Davies and E. Gómez, "Multi-feature beat tracker," IEEE/ACM Transactions on Audio, Speech and Language Processing. 22(4), pp. 816-825, 2014"