Melody_Generation

Resources to go with my talk on music generation from 9/21/23

Useful links from our presentation

Presentation: https://www.canva.com/design/DAFvHlhkGU4/m8y0GY7DQzOr_gQ3yTJjaQ/edit?utm_content=DAFvHlhkGU4&utm_campaign=designshare&utm_medium=link2&utm_source=sharebutton

ESAC data set: http://www.esac-data.org/

Music21: http://web.mit.edu/music21/

Keras: https://keras.io/

Get more involved with machine learning!

Ultimate resources on deep learning that I'd recommend: https://github.com/ChristosChristofidis/awesome-deep-learning

Father of machine learning tutorials: https://www.andrewng.org/courses/

Music Generation:

Music generation with double LSTM: https://www.youtube.com/watch?v=pg9apmwf7og&t=952s

Original double LSTM attempt (from presentation): https://github.com/Conchylicultor/MusicGenerator/blob/master/docs/models.md

Music Generation with single LSTM (preprocessing and most of training code derived from this tutorial): https://www.youtube.com/watch?v=FLr0r-QhqH0&list=PL-wATfeyAMNr0KMutwtbeDCmpwvtul-Xz

The Sound of AI - amazing videos for AI/music/sound: https://www.youtube.com/@ValerioVelardoTheSoundofAI/playlists

Google's MusicLM: https://blog.google/technology/ai/musiclm-google-ai-test-kitchen/

Jukebox by OpenAI: https://openai.com/research/jukebox

The state of AI for musicians, by Berklee: https://online.berklee.edu/takenote/ai-music-what-musicians-need-to-know/