{"id":1985,"date":"2021-06-28T05:52:40","date_gmt":"2021-06-28T03:52:40","guid":{"rendered":"http:\/\/costops.com\/index.php\/2021\/06\/28\/a-talent-scout-cant-go-to-100-shows-a-night-how-big-data-is-choosing-the-next-pop-stars\/"},"modified":"2021-06-28T05:52:40","modified_gmt":"2021-06-28T03:52:40","slug":"a-talent-scout-cant-go-to-100-shows-a-night-how-big-data-is-choosing-the-next-pop-stars","status":"publish","type":"post","link":"http:\/\/costops.com\/index.php\/2021\/06\/28\/a-talent-scout-cant-go-to-100-shows-a-night-how-big-data-is-choosing-the-next-pop-stars\/","title":{"rendered":"\u2018A talent scout can\u2019t go to 100 shows a night\u2019 \u2013 how big data is choosing the next pop stars"},"content":{"rendered":"

Faced with so much new music, major labels are using algorithms to hunt down tomorrow\u2019s hits. Is this great news for rising stars \u2013 or the recipe for a bland new future?<\/p>\n

One lunchtime about three years ago, Hazel Savage and Aron Pettersson set a new piece of software running on a laptop then went to a nearby mall for a sandwich. They hoped, on their return, to have the answer to a question that would change the music industry: can a computer pick a hit record?<\/p>\n

The pair had just founded their firm, Musiio<\/a>, in Singapore\u2019s Boat Quay district. Pettersson, who is Swedish, was a specialist in artificial intelligence (AI) with a background in neuroscience; Savage, a British music industry professional with tech pedigree, had worked for Shazam and the Pandora streaming service. They let their software loose on the Free Music Archive<\/a>, one of the world\u2019s largest collections of copyright-free songs. These are written by little-known artists and commonly used for soundtracks and podcasts. They asked their computer to pick 20 songs from the archive, based on their similarity to a tune Savage liked: I Wanted Everything by the US indie star Kurt Vile. Back in the office, they listened. \u201cEvery song was great,\u201d says Savage, \u201cand every song was of a similar genre.\u201d<\/p>\n

Continue reading…<\/a>
\nFaced with so much new music, major labels are using algorithms to hunt down tomorrow\u2019s hits. Is this great news for rising stars \u2013 or the recipe for a bland new future?
\nOne lunchtime about three years ago, Hazel Savage and Aron Pettersson set a new piece of software running on a laptop then went to a nearby mall for a sandwich. They hoped, on their return, to have the answer to a question that would change the music industry: can a computer pick a hit record?
\nThe pair had just founded their firm, Musiio, in Singapore\u2019s Boat Quay district. Pettersson, who is Swedish, was a specialist in artificial intelligence (AI) with a background in neuroscience; Savage, a British music industry professional with tech pedigree, had worked for Shazam and the Pandora streaming service. They let their software loose on the Free Music Archive, one of the world\u2019s largest collections of copyright-free songs. These are written by little-known artists and commonly used for soundtracks and podcasts. They asked their computer to pick 20 songs from the archive, based on their similarity to a tune Savage liked: I Wanted Everything by the US indie star Kurt Vile. Back in the office, they listened. \u201cEvery song was great,\u201d says Savage, \u201cand every song was of a similar genre.\u201d Continue reading…Technology | The Guardian<\/p>\n","protected":false},"excerpt":{"rendered":"

Faced with so much new music, major labels are using algorithms to hunt down tomorrow\u2019s hits. Is this great news for rising stars \u2013 or the recipe for a bland new future? One lunchtime about three years ago, Hazel Savage and Aron Pettersson set a new piece of software running on a laptop then went …<\/p>\n

\u2018A talent scout can\u2019t go to 100 shows a night\u2019 \u2013 how big data is choosing the next pop stars<\/span> Read More »<\/a><\/p>\n","protected":false},"author":0,"featured_media":1986,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[1],"tags":[],"_links":{"self":[{"href":"http:\/\/costops.com\/index.php\/wp-json\/wp\/v2\/posts\/1985"}],"collection":[{"href":"http:\/\/costops.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/costops.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"http:\/\/costops.com\/index.php\/wp-json\/wp\/v2\/comments?post=1985"}],"version-history":[{"count":0,"href":"http:\/\/costops.com\/index.php\/wp-json\/wp\/v2\/posts\/1985\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"http:\/\/costops.com\/index.php\/wp-json\/wp\/v2\/media\/1986"}],"wp:attachment":[{"href":"http:\/\/costops.com\/index.php\/wp-json\/wp\/v2\/media?parent=1985"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/costops.com\/index.php\/wp-json\/wp\/v2\/categories?post=1985"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/costops.com\/index.php\/wp-json\/wp\/v2\/tags?post=1985"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}