Expressive AI - Generated Music With Google's Performance RNN - Doug Eck - TWiML Talk #32
Published:Jul 5, 2017 00:00
•1 min read
•Practical AI
Analysis
This article discusses Doug Eck's work at Google Brain, focusing on the Magenta project and its application of machine learning to the arts. It highlights the Performance RNN project, which uses neural networks to generate expressive music. The article also mentions QuickDraw, a project involving visual classification. The core theme revolves around generative machine learning models and their potential in creative fields, including music and storytelling. The interview explores the possibilities of AI in artistic endeavors and the development of open-source tools for creative processes.
Key Takeaways
- •Google's Magenta project aims to create open-source tools for creative processes using machine learning.
- •Performance RNN utilizes neural networks to generate expressive, AI-generated music.
- •The article explores the potential of generative models in various creative fields, including music and storytelling.
Reference
“Doug's research starts with using so-called “generative” machine learning models to create engaging media.”