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Can Machines Generate Personalized Music? A Hybrid Favorite-aware Method for User Preference Music Transfer

arXiv.org Artificial Intelligence

Abstract--User preference music transfer (UPMT) is a new problem in music style transfer that can be applied to many scenarios but remains understudied. Transferring an arbitrary song to fit a user's preferences increases musical diversity and Most music style transfer approaches rely on datadriven methods. In general, however, constructing a large training Figure 1: A demonstration of UPMT: Transferring symbolic input music dataset is challenging because users can rarely provide enough of to new symbolic music that fits a user's preferences based on features their favorite songs. To address this problem, this paper proposes of their favorite music. For example, Marino et al. [17] used prior semantic knowledge in the form of knowledge graphs HERE has been recent growth in research around music style transfer, a technique that transfers the style of to improve image classification performance. Donadello et al. one piece of music to another based on different levels of [18] extracted semantic representations in a knowledge base music representations [1]. Music style transfer is considered to enhance the quality of recommender systems. Despite these important because it increases music variety by reproducing advances, the approaches cannot be directly applied to music, existing music in a creative way.


In 2021, We Reunited With the Bodies Behind Our Favorite Music

Slate

In Slate's annual Music Club, Slate critic Carl Wilson emails about the year in music with fellow critics -- featuring New York Times contributor Lindsay Zoladz, freelance writer Briana Younger, NPR music critic Ann Powers, Glitter Up the Dark author Sasha Geffen, Pitchfork contributing editor Jenn Pelly, WXNP Nashville editorial director Jewly Hight, Penguin Books author Julianne Escobedo Shepherd, critic Steacy Easton, Slate pop-culture critic Jack Hamilton, and Chris Molanphy, the host of Slate's Hit Parade. Like some of you probably did too, I came back to live music this year. This past June marked my first show after 16 months sealed away from contagion. I filed into the venue hoping for catharsis, thinking the accumulated anxiety of the previous year might dissipate in reunion with thousands of strangers. Something else happened: I'd trained my body in certain nervous patterns, and when I went to shows, I brought my body with me.


18 deals you don't want to miss this Black Friday

Engadget

Black Friday equals primetime holiday shopping, and this roundup of 18 incredible deals won't disappoint. For a limited time only, get an extra 20% off physical products, 40% off apps and software and 70% off eLearning deals with the specified coupon code for each item. LaMetric Time is so, so much more than a clock. This WiFi-connected, fully programmable clock is an intelligent display and control for smart homes that is capable of integrating with a wide variety of services and apps. With it, you can wake you up with music, get the forecast, turn off lights and other appliances in your home and much more.


When Will We Have Human-like Assistants? IoT For All

#artificialintelligence

I joined the Star Wars fandom late in the game. I grew up in India, where Star Wars is less of a thing, but in 2015 I watched "Star Wars: The Force Awakens" and set out on a quest to watch everything. They can move and talk (though mostly in gibberish) and act intelligently. As we all know, technology is often inspired by movies. Just look at how speech technologies are evolving and inspired by movies like Star Wars.