How Do Computers Match Musical Sounds?

09/17/23 • 52 min

Today we take a look back at the music technology underpinning a startup co-founded by our hosts in the early 2010s. With the motto "Use Music to Find Music" , Clio Music was perhaps the first commercially available search engine to speak the language of music and has been a part of TiVo since 2012.
Listen in as our intrepid hosts share insights from that experience as well as ways they see this technology playing an important role in the future of music AI.
Subscribe on your favorite podcast platform or check us out at https://www.toomuchmusicpodcast.com/
More from your lovely hosts:
Greg: https://gregwilder.com
Alison: https://alisonwilder.net/

Doctor Body is Alison & Greg's experimental electronic duo.
PatternSonix is Alison & Greg's niche consulting firm focusing on the intersection between sound and AI.
Subscribe on your favorite podcast platform or check us out at toomuchmusicpodcast.com
Music, blogging, & more from your hosts: Dr. Greg Wilder | Alison Wilder

Previous Episode

Music as Information: What Gets Lost?

Where does music live? Is it the sound in the room? Is it in your brain? Or maybe it lives on paper? In order to repeat it, we need to create systems to write it down, and ultimately represent music as information or data. But what gets lost when we do this?
Writing music down seems straightforward enough. But as we’ll see, the process of reducing the rich experience of music to dots on paper isn’t as simple as jotting down a grocery list or even writing down your innermost thoughts about last night’s dreams.
Subscribe on your favorite podcast platform or check us out at https://www.toomuchmusicpodcast.com/
More from your lovely hosts:
Greg: https://gregwilder.com
Alison: https://alisonwilder.net/

Next Episode

How to Define Musical Identity for Humans & AI Systems

Alison & Greg talk about how we hear, understand, and define the identity of a piece of music. After a bit of a dive into the great music thinkers of the 20th and 21st century and their work on how our minds hear and process music, they jump into the specifics of what musical parameters go into identity, and how we can define and codify those parameters so that they're available to an AI system.