Menu
Sign In Search Podcasts Charts People & Topics Add Podcast API Pricing
Podcast Image

Code for Thought

Make It Sing!

09 Nov 2021

Description

This episode is all about music and the role software and technologies such as AI and machine learning play in creative processes. Meet Emily Howard, David De Roure and Chris Melen from the Centre for Practice & Research in Science and Music (PRiSM) at the Royal Northern College of Music. They talk about how they use AI in their creative processes. One of the key tools the team has developed and uses for experimenting and composing music is an open source tool called PRiSM SampleRNN - and you will be able to listen to some of the audio samples. Occasionally, you hear concerns about AI replacing humans - or in this case - composers and performers. But that's not the case as David, Emily and Chris reassure us. Rather, it is a new tool that can enhance and augment our creativity. And furthermore:“If society is going to have AI so pervasively embedded then we really have to understand what it means to be a creative human being in the context of AI”Linkshttps://github.com/rncm-prism/prism-samplernn   PRiSM SampleRNN open Sourcehttps://www.rncm.ac.uk/research/research-centres-rncm/prism/ PRiSM main web sitehttps://www.rncm.ac.uk/whats-on/events/ Events at the Royal Northern College of Music/PRiSMhttps://www.turing.ac.uk/research/interest-groups/ai-arts  The Alan Turing Institute AI & Arts Special Interest GroupGet in touchThank you for listening! Merci de votre écoute! Vielen Dank für´s Zuhören! Contact Details/ Coordonnées / Kontakt: Email mailto:[email protected] UK RSE Slack (ukrse.slack.com): @code4thought or @piddie Bluesky: https://bsky.app/profile/code4thought.bsky.social LinkedIn: https://www.linkedin.com/in/pweschmidt/ (personal Profile)LinkedIn: https://www.linkedin.com/company/codeforthought/ (Code for Thought Profile) This podcast is licensed under the Creative Commons Licence: https://creativecommons.org/licenses/by-sa/4.0/

Audio
Featured in this Episode

No persons identified in this episode.

Transcription

This episode hasn't been transcribed yet

Help us prioritize this episode for transcription by upvoting it.

0 upvotes
🗳️ Sign in to Upvote

Popular episodes get transcribed faster

Comments

There are no comments yet.

Please log in to write the first comment.