"An utterly satisfying examination of the business of popular music." —Nathaniel Rich, The Atlantic There’s a reason today’s ubiquitous pop hits are so hard to ignore—they’re designed that way. The Song Machine goes behind the scenes to offer an insider’s look at the global hit factories manufacturing the songs that have everyone hooked. Full of vivid, unexpected characters—alongside industry heavy-hitters like Katy Perry, Rihanna, Max Martin, and Ester Dean—this fascinating journey into the strange world of pop music reveals how a new approach to crafting smash hits is transforming marketing, technology, and even listeners’ brains. You’ll never think about music the same way again. A Wall Street Journal Best Business Book

In The Music Machine, Curtis Roads brings together 53 classic articles published in Computer Music Journal between 1980 and 1985.

Having a moon for a head at high school is a pretty tricky situation. But when the school talent contest is announced, Joey Moonhead spots an opportunity to impress his classmates with a music machine. An imaginative and visually poetic take on the stock American high school drama, this is one graphic novel that's out of this world!

1/2 page flaps. Based on BBC TV characters. 2-5 yrs.

A pulsating graphic novel on the epic history of electronic music, from the heyday of disco in the 1970s to the rave culture of the 1990s and beyond. With a foreword from house music legends Daft Punk, The Song of the Machine is a celebration of a musical wave that swept across the world over decades, demographics, and dance styles. Originally published in 2000 in France, and updated through today for this first English edition, the electrifying narrative introduces readers to the harbingers of the genre, such as David Mancuso, Larry Levan, and Frankie Knuckles (known as the "Godfather of House Music"); the prototypes of modern-day nightclubs and dance venues, like The Loft and Studio 54 in New York City, the Palace in Paris, and the Hacienda in Manchester, England, and of course, the technology and machines that first produced and synthesized the records that galvanized a movement. Told through exciting illustrations that evolve with the era they describe, and complete with specially curated playlists for each and every decade, The Song of the Machine recounts the influences and inspirations, the people and epic parties that created and defined this revolutionary music.

Motown records worldwide name recognition was bigger than any of the recording artist on the label. This book talks about the business principles Berry Gordy used to propel his company to greatness. Applying these principles will make you successful in your business.

Machine Models of Music brings together representative models and current research to illustrate the rich impact that artificial intelligence has had on the understanding and composition of traditional music and to demonstrate the ways in which music can push the boundaries of traditional Al research. Machine Models of Music brings together representative models ranging from Mozart's "Musical Dice Game" to a classic article by Marvin Minsky and current research to illustrate the rich impact that artificial intelligence has had on the understanding and composition of traditional music and to demonstrate the ways in which music can push the boundaries of traditional Al research.Major sections of the book take up pioneering research in generate-and-test composition (Lejaren Hiller, Barry Brooks, Jr., Stanley Gill); composition parsing (Allen Forte, Herbert Simon, Terry Winograd); heuristic composition (John Rothgeb, James Moorer, Steven Smoliar); generative grammars (Otto Laske, Gary Rader, Johan Sundberg, Fred Lerdahl); alternative theories (Marvin Minsky, James Meehan); composition tools (Charles Ames, Kemal Ebcioglu, David Cope, C. Fry); and new directions (David Levitt, Christopher Longuet-Higgins, Jamshed Bharucha, Stephan Schwanauer).Stephan Schwanauer is President of Mediasoft Corporation. David Levitt is the founder of HIP Software and head of audio products at VPL Research.