Audio AI tools can compose songs in any musical style in just a few minutes. Argentinian musician Nicolas Madoery demonstrates how it works. But does it create unique sounds?
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00:00 Nicolas Madueri and the FutureX team are researching how Latin American music is influenced by algorithms.
00:08 It's difficult for an AI model to understand the complexity and the specific characteristics of a region like Latin America.
00:16 That's the challenge. How can we create tools that represent our region?
00:25 A survey in 16 Latin American countries has shown that so far, creatives haven't really tapped into the potential of AI.
00:34 Here, we use AI mostly for project management, not creative work.
00:45 Musicians from all over Latin America work for the organization FutureX.
00:50 To test AI in music production, they composed a song together using various AI tools.
00:56 It took us about six to eight months. We tried different things and experimented with different tools.
01:15 At the start, you could hardly tell that we were using AI. The results were mostly instrumental.
01:26 Later, we trained an AI model using voices from famous Latin American singers.
01:37 The song has quite an experimental sound.
01:50 But it does give the sound researchers some valuable insights.
02:00 This song was supposed to tell us something about voices, about women and many voices becoming one.
02:09 It wasn't so much about making a nice song, but more to find out what happens when we bring all these voices together.
02:16 It's kind of like creating a mega voice.
02:24 Together with other musicians and scientists, he's training AI audio tools with the traditional sounds of his homeland.
02:31 He fears that many regional musical styles could otherwise be lost.
02:40 I think it's important to understand how AIs are trained.
02:46 Using these models shouldn't create a rift between us and our cultures.
02:54 In fact, the technology should deepen our cultural identity and enable more access to local traditional music.
03:08 This is what he has.