ScorePerformer: Expressive Piano Performance Rendering with Fine-Grained Control (ISMIR 2023)

Source code for "MusCaps Generating Captions for Music Audio" (IJCNN 2021)

Official implementation of "Contrastive Audio-Language Learning for Music" (ISMIR 2022)

List of academic resources on Multimodal ML for Music

This repository contains a web application that integrates with a music recommendation system, which leverages a dataset of 3,415 audio files, each lasting thirty seconds, utilising a Locality-Sensitive Hashing (LSH) implementation to determine rhythmic similarity, as part of an assignment for the Fundamental of Big Data Analytics (DS2004) course.

Structured Data from Ishkur's Guide to Electronic Music. Working Mirror for v2.5 here: https://igorbrigadir.github.io/ishkurs-guide-dataset/

[REPO] Create a music genre dataset (metadata or audio) for classification using the Spotify Web API

Open source library that allows you to efficiently compute audio features.

A CNN which converts piano audio to a simplified MIDI format

AudioLDM training, finetuning, evaluation and inference.

FPGA based USB 2.0 high speed audio interface featuring multiple optical ADAT inputs and outputs

USB Audio DAC using inexpensive STM32F411 / 401 "Black Pill" and PCM5102A modules

Code for Vision-Infused Deep Audio Inpainting (ICCV 2019)

the dataset used in the paper https://drive.google.com/file/d/0B4bIMgQlCAuqdGVRbVNNbzJfeUU/view

A data framework for music information retrieval focusing on electronic music Gariscatloopy

Lyrics-to-audio-alignement system. Based on Machine Learning Algorithms: Hidden Markov Models with Viterbi forced alignment. The alignment is explicitly aware of durations of musical notes. The phonetic model are classified with MLP Deep Neural Network.

DALI: a large Dataset of synchronised Audio, LyrIcs and vocal notes.

Control mechanisms to the U-Net architecture for doing multiple source separation instruments

A Freesound Community Sampler

Creation of an embedding space using unsupervised triplet loss and Tile2Vec that can be used for a variety of downstream tasks

Using Deep Learning to Categorize Music as Time Progresses Through Spectrogram Analysis evanoterodeepmusicgenreclassification

Neural network to classify some styles of Electronic music

C Python library with signal processing and tempo estimation utilities egordmlibtempo

The code for the MaD TwinNet. Demo page:

This is the codes repository for the paper "Emotion-Guided Music Accompaniment Generation based on VAE".

Music Synthesis with Python talk originally given at PyGotham 2017 dodikumusicsynthesiswithpython

Classification wrappers for 4 Deep Learning Embedded Runtimes for Music Information Retrieval, plus utilities to convert a TensorFlow Model

Package for automatic beatmixing of music files in Python dodikuMixingBear

Code for "Deep Learning Based EDM Subgenre Classification using Mel-Spectrogram and Tempogram Features" arXiv:2110.08862, 2021.