Midi event transformer for symbolic music generation
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Updated
Dec 31, 2024 - Python
Midi event transformer for symbolic music generation
PDMX: A Large-Scale Public Domain MusicXML Dataset for Symbolic Music Processing
Code and demo for paper: Zhao et al., Structured Multi-Track Accompaniment Arrangement via Style Prior Modelling, in NeurIPS 2024.
This is the official implementation of MusER (AAAI'24).
A library for computing Frechet Music Distance.
A transformer neural network that generates symbolic music improvising on chord changes
This is the official implementation of RL-Chord (TNNLS).
A transformer model for generating solo piano compositions. Generetes quantized output suitable for working in DAWs.
The Pop-K MIDI Dataset contains 305,815 training examples of augmented pop melodies.
Demo for PDMX: A Large-Scale Public Domain MusicXML Dataset for Symbolic Music Processing
This repository contains the code for the paper On the Joint Minimization of Regularization Loss Functions in Deep Variational Bayesian Methods for Attribute-Controlled Symbolic Music Generation, submitted to EUSIPCO 2025.
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