cross pond high tech
Follow
Find tag "Music"
30.4K views | +9 today
cross pond high tech
light views on high tech in both Europe and US
Your new post is loading...
Your new post is loading...
Scooped by Philippe J DEWOST
Scoop.it!

A Deceptively Simple Speaker That Always Knows What to Play

A Deceptively Simple Speaker That Always Knows What to Play | cross pond high tech | Scoop.it

Don’t call Cone a speaker. It’s a “thinking music player.”

That, anyway, is how Duncan Lamb, co-founder of Aether, explains his company’s new offering, a conical music-machine that learns your tastes and seamlessly streams the songs you want to hear. It’s a fairly radical reinvention of a familiar gadget–a speaker that relieves you of the responsibility of DJing every song at every step of the way. But it’s also an example of how the internet of things is quickly maturing, proving that clever algorithms and beefy processing power can be combined to make products simpler to use, rather than more complex.

Take a close look at how you listen to music today, and you’ll find that complexity clogging things up at every stage. For all the on-demand ease of subscription services like Spotify and Rdio, you still have to figure out what to listen to. Then you have to account for other sources, like internet radio and podcasts. At some point, you have to figure out how you’re actually going to listen to this stuff in your house. Is it synced to your phone? Is it on your PC? Will the device it’s playing on stream to your living room speakers?

Philippe J DEWOST's insight:

Solving the  simplicity + UX + abundance paradox with smart machine learning + minimal design = combination of discovery and choice

more...
No comment yet.
Scooped by Philippe J DEWOST
Scoop.it!

Measuring the Evolution of Contemporary Western Popular Music : Scientific Reports : Nature Publishing Group

Measuring the Evolution of Contemporary Western Popular Music : Scientific Reports : Nature Publishing Group | cross pond high tech | Scoop.it
Researchers in Spain used a huge archive known as the Million Song Dataset, which breaks down audio and lyrical content into data that can be crunched, to study pop songs from 1955 to 2010.

A team led by artificial intelligence specialist Joan Serra at the Spanish National Research Council ran music from the last 50 years through some complex algorithms and found that pop songs have become intrinsically louder and more bland in terms of the chords, melodies and types of sound used.

.../... (Abstract from Reuters available at http://www.reuters.com/article/2012/07/26/us-science-music-idUSBRE86P0R820120726)
more...
No comment yet.