"Audio AI: isolating vocals from stereo music using Convolutional Neural Networks":
https://towardsdatascience.com/audio-ai-isolating-vocals-from-stereo-music-using-convolutional-neural-networks-210532383785 #ML #Generative #Music
"Audio AI: isolating vocals from stereo music using Convolutional Neural Networks":
https://towardsdatascience.com/audio-ai-isolating-vocals-from-stereo-music-using-convolutional-neural-networks-210532383785 #ML #Generative #Music
MelodyBall - by Jeffrey Ventrella (2008):
Max Mathews - Bycicle Built for Two (1961): https://en.wikipedia.org/wiki/Max_Mathews
Sonoids: Interactive Sound Synthesis Driven by Emergent Social Behaviour in the Sonic Domain: https://zenodo.org/record/1422681#.XB6QhBNKhE4 #Generative #Music
Music Object Detector with TensorFlow: #ML #Generative #Music
https://github.com/apacha/MusicObjectDetector-TF
MUSICtable: A Map-based Ubiquitous system for Social Interaction with a digital music Collection (2005): #HCI #Music
http://courses.ece.ubc.ca/518/previous/hit2005/papers/GluckStavnessVilhan.pdf
Hyperscore - by Tod Machover: #HCI #Music
https://www.humtap.com - "AI-Driven Social Music Creation" #ML #Generative #Music
Mubert: "an AI-based streaming service that creates royalty-free background music in realtime": http://mubert.com/ #ML #Generative #Music
"Music Style Transfer: A Position Paper": https://arxiv.org/abs/1803.06841
#ML #Generative #Music
Neurythmic - "a new music sequencer based on central pattern generator neural networks":
https://danbennettdev.github.io/projects/neurythmic.html
Survey on Playlist Generation Techniques (2014):
http://ijarcet.org/wp-content/uploads/IJARCET-VOL-3-ISSUE-2-437-439.pdf
Music Playlist Continuation by Learning from Hand-Curated Examples and Song Features (2017): https://arxiv.org/pdf/1705.08283.pdf
Generating similarity-based playlists using traveling salesman algorithms (2005):
https://pdfs.semanticscholar.org/5133/45605087a1854d4212a62e17b07aff1a3100.pdf
Playlist Prediction via Metric Embedding (2012):
http://www.cs.cornell.edu/people/tj/publications/chen_etal_12a.pdf
Mixtape: direction-based navigation in large media collections (2016):
https://wp.nyu.edu/ismir2016/wp-content/uploads/sites/2294/2016/07/155_Paper.pdf
Mining online music listening trajectories (2016):
https://wp.nyu.edu/ismir2016/wp-content/uploads/sites/2294/2016/07/193_Paper.pdf
TribeFlow: Mining & Predicting User Trajectories (2016):
https://www.cs.purdue.edu/homes/ribeirob/pdf/tribeflow_2016.pdf
The Importance of Song Context and Song Order in Automated Music Playlist Generation (2018): https://arxiv.org/abs/1807.04690
A Hybrid Approach to Music Playlist Continuation Based on Playlist-Song Membership (2018):
https://arxiv.org/abs/1805.09557
"MIDI-VAE: Modeling Dynamics and Instrumentation of Music with Applications to Style Transfer": https://arxiv.org/abs/1809.07600 code: https://github.com/brunnergino/MIDI-VAE
"Symbolic Music Genre Transfer with CycleGAN": https://arxiv.org/abs/1809.07575 code: https://github.com/sumuzhao/CycleGAN-Music-Style-Transfer #Generative #Music #ML
Why we really really really like repetition in music:
Keynote by @plamere from Spotify on having fun with music and datascience:
"Plans, Takes, and Mis-takes": https://tidsskrift.dk/index.php/outlines/article/view/1964
"This paper analyzes what may have been a mistake by pianist Thelonious Monk playing a jazz solo in 1958". #Music #
A mistake is the most beautiful thing in the world. It is the only way you can get to some place you’ve never been before. I try to make as many as I can. Making a mistake is the only way that you can grow. - Drummer E.W.Wainwright
Made a new Algorave tune. Music live coded with TidalCycles, Video generated using some weird neural nets.