A Composer’s Guide to Creating with Generative Neural Networks • Molly Jones • GOTO 2023
This presentation was recorded at GOTO Chicago 2023. #GOTOcon #GOTOchgo
Molly Jones - Composer, Saxophonist & Software Engineer
RESOURCES
ABSTRACT
While generative text and image models like ChatGPT and DALL-E2 have garnered popular attention, generative music creation has only begun to blossom.
This talk will focus on a case study of an independent composer navigating the infrastructure and coding challenges of building, optimizing, and training a deep learning model for audio generation for use in her own compositions. Molly Jones, a composer and software engineer, attempts to develop creative work that is aesthetically, conceptually, and ethically sound while addressing problems of data augmentation, solo coding, and limited resources.
The case study does not offer immediate solutions to the problems faced by independent artists but rather a catalog of areas for future research aimed at easing the use of deep learning models in creative contexts. Molly is an Associate Software Consultant at Spantree, LLC, and a Composer in Residence at the University of Toronto, where she explores the intersections of AI and music. [...]
TIMECODES
00:00 Intro
04:53 What’s in this presentation, and what not?
05:43 Outline
06:05 Background & goals
13:22 Data collection
18:43 Model selection
25:05 Infrastructure
25:47 Development
29:22 Deciding when it’s done
34:09 Composition
37:24 Future directions
40:45 Creative exercise
41:50 Gratitude
42:10 Outro
Download slides and read the full abstract here:
RECOMMENDED BOOKS
Phil Winder • Reinforcement Learning •
Holden Karau, Trevor Grant, Boris Lublinsky, Richard Liu & Ilan Filonenko • Kubeflow for Machine Learning •
Kelleher & Tierney • Data Science (The MIT Press Essential Knowledge series) •
Lakshmanan, Robinson & Munn • Machine Learning Design Patterns •
Lakshmanan, Görner & Gillard • Practical Machine Learning for Computer Vision •
Aurélien Géron • Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow •
#AI #ML #NN #NeuralNetworks #ChatGPT #DallE2 #LLC #GenerativeMusic #GenerativeArt #Spantree #MollyJones #UniversityOfToronto #ArtificialIntelligence #MachineLearning #DataScience #DeepLearning #AISymbiosis #EthicalQuandary
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