Skip to content

Impro-Visor/adversarial_music

Repository files navigation

Adversarial Music

Uses Generative Adversarial Networks (as described by Goodfellow et al) to generate novel jazz solos based on Robert Keller's iiVI leadsheets. Implementation is in theano, using Jonathan Raiman's theano_lstm library.

adversarial_music.py - miscellaneous functions used by other programs

adversarial_music_sampling.py - trains using an adaptation of reinforcement learning

adversarial_music_nosampling.py - trains using an estimation of expected value, without ever sampling from output distributions

adversarial_music_minibatched.py - nosampling method, done in minibatches (piece by piece) instead of timestep by timestep

Written for the Intelligent Music Software Project at Harvey Mudd College, summer 2016

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published