Using AI in Audio Production
Using AI in Audio Production
Overview
Audio production is an area of work rich with opportunities to use AI. Whether its in recording, editing or post-production. This includes voice cloning and its uses from providing unlimited access to a popular voice or providing authentic language translations. But this practice – like much of the use of Artificial Intelligence – comes with important ethical considerations. Producer and Sound Designer, Micky Curling has been experimenting with AI tools in his audio production and in this popular class, delivered from his studio, he shares with you the possibilities and explores the risks.
What you will learn:
An understanding of AI-based production tools.
- How to use AI when recording, processing and delivering high-quality audio.
- How AI is opening new creative possibilities.
- First-hand experience of the use of voice cloning in audio production.
- An awareness of the risks associated with AI.
Meet your faculty
Michael Curling
Audio and video producerMichael Curling has lived and breathed radio for most of his life. At the age of 10 he built a radio studio in his bedroom and broadcast on a loudspeaker to his long-suffering family. By the age of 17 he was working for BBC radio where he quickly discovered a joy for breaking with the established technical and editorial norms, designing and implementing studio tools that are still in use today in the BBC. In the early nineties he was dragged kicking and screaming in to a bi-media age where he discovered the joy of creating content for both TV and radio. His freelance career, which now spans well over 10 years, has taken him around the world with athletics, horse racing and skiing and he enjoyed his own home-coming at London 2012. Michael has won awards for his sound design and radio production in a world shared equally between sport and music radio. Michael has a burning desire to create rich content for online, radio and TV audiences. His latest exploits have seen the birth of EBU’s Storyboard tool - first developed when he was part of an award-winning team at a hackathon in Stockholm.