Exploring the Rimworld of Sound using Generative Adversarial Networks
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AI/Machine Learning • December 2021
Exploring the Rimworld of Sound using Generative Adversarial Networks
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About
Exploring the Rimworld of Sound using Generative Adversarial Networks
About

We will take the audience on the musical journey of an artificial intelligence learning how to reinvent musical instruments. Starting with digitally interpreting sounds, mimicing instruments using feed-forward neural nets, and ending with a metamorphosis of instruments using Generative Adversarial Networks.

We want to explore the unexplored, travel the rimworld of sound space! A generating network is inventing sounds, trying to please a second network, which is trained to recognize known instruments. As we tweak the settings of the generative network, we morph to a new paradigm of sounds.

Language
English
Level
Intermediate
Length
28 minutes
Type
online conference
About the speakers
About the speakers
Laurens Koppenol
Machine learning engineerDataworkz
Laurens Koppenol is Machine Learning Engineer at Dataworkz. He has a background in Artificial Intelligence and has worked for several years as lead data scientist at ProRail. Laurens likes to be on the edge where business meets tech, where AI and machine learning make an impact!
David Isaacs Paternostro
TeacherHogeschool Utrecht
I’m David, I work as a teacher, teaching artificial intelligence, at the applied university of Utrecht. I love how artificial intelligence is like a lens through which we can see the world. Whether the models we make of the world are realistic or not – do brains really work like a neural network? Not really – they are still inspiring and often usefull. I'm also a musician and this project exists to combine the love for both.
Details
Language
English
Level
Intermediate
Length
28 minutes
Type
online conference
Belongs to:
Belongs to:
Online Tech Conference 2021 - English Edition | Autumn
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