72.5 F
New York
Monday, October 2, 2023
HomeNewsDon't Trust Your Spotify Algorithm. Trust Your Heart.

Don’t Trust Your Spotify Algorithm. Trust Your Heart.

Date:

Related stories

October Round-Up: Five Music Industry Events to Attend

As October begins, it is getting harder to choose...

Independent Music Awards 2023: Teenage Kicks

Björk at the AIM Awards (photo by Santiago Felipe). Pacemakers...

Deezer’s Musical Makeover: The Good, The Bad, And The Head-Scratching

The recent Universal Music Group-brokered deal with the French music streaming service, Deezer, has been the subject of much debate. Martin Mills of Beggars Group, Darius Van Arman of Secretly Distribution, Stephan Bourdoiseau of Wagram Stories, and Emmanuel de Buretel of Because Music joined forces in a post in Music Ally that confronts the pros and cons of the user-centric versus pro-rata streaming models.

Anchor Music Award: Lotus, Peony, Daisy and Tony Visconti

The winner of Anchor 2023 Ichiko Aoba (photo by...

Apple Vision Pro: The Next Big Flop In Apple’s Hall Of Shame?

Apple is one of the greatest companies on earth. They produce products that are unequalled in consumer technology. But like any company, they release products that are flops in the marketplace. Apple, unlike a lot of other companies, knows how to bury their stiffs like they never existed.

Researchers in sunny California have turned the age-old question of “Can machines predict hit songs?” into a musical rollercoaster ride. Forget about musical fortune tellers; these scientists at Claremont Graduate University have put AI to the test, trying to predict the next chart-topping hit with the help of your heart rate. Yes, you heard that right – our hearts are now the jukeboxes of the future.

 

Imagine a world where your smartwatch not only monitors your steps but also moonlights as your personal DJ. These researchers are attempting to make that dream a reality. By analyzing listeners’ physiological signals, they claim to have built a machine-learning model that can predict hit songs with an impressive 97% accuracy. Your heart’s rhythm might soon be the ultimate groove guide.

However, don’t start canceling your Spotify subscriptions just yet. Skeptical scientists are playing the spoiler, warning that predicting human musical tastes isn’t a straightforward track to follow. The study might be groundbreaking, but they remind us that biases can slip into machine-learning experiments faster than you can say “Baba O’Riley.”

Traditionally, music gurus relied on databases and fancy terms like “tempo,” “explicitness,” and “danceability” to foresee the next big hit. But that was as accurate as flipping a coin. These Claremont AI researchers took a different route, monitoring participants’ blood flow like fitness trackers on a cardio session and converting it into something called “immersion.” Suddenly, your heartbeat becomes the beat to follow.

Still, not everyone’s convinced. Some critics argue that this heart-thumping method needs more validation than a hastily written love song. They question whether a machine can ever capture the elusive essence that turns a tune into a sensation. After all, even the best AI might struggle to tell the difference between “Bohemian Rhapsody” and a kitchen blender.

But the real showstopper is the potential commercial applications. Picture an AI-powered DJ who knows your every mood swing. As wearable devices become as common as your morning coffee, they could seamlessly recommend music, movies, and TV shows based on your neural impulses. Who wouldn’t want their own personal mood conductor?

But, and there’s always a but, the critics raise another red flag: data privacy. Even with an opt-in approach, they warn that many users blindly tap “Agree” on those never-ending terms and conditions, potentially sharing more than they bargained for. Your favorite songs might reveal more about you than you’d like, especially when combined with your brain activity.

So, before you hand your playlist over to the machines, think about how much you’re willing to give away for the perfect musical backdrop. Remember, your favorite tunes might reveal more about you than you ever thought. In the end, your heart might just be the ultimate hitmaker, and AI’s attempt to play DJ could leave you dancing to a different tune.

Author

  • Wayne Rosso

    Wayne Rosso has worked in music and technology for decades. He has worked with such artists as Aerosmith, Bee Gees, Crosby, Stills & Nash, Public Image LTD., Beach Boys, Phillip Glass, Fleetwood Mac, Rick James, New Kids on the Block, Slash, Evanescence and scores of others.

Subscribe

- Never miss a story with notifications

- Gain full access to our premium content

- Browse free from up to 5 devices at once

Latest stories

spot_img

LEAVE A REPLY

Please enter your comment!
Please enter your name here