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Making Vocal Tracks with AI

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Protoculture’s back this week and we’re diving into the hot topic of AI in music—specifically, AI-generated vocals.

Love it or hate it, AI is here to stay—and it’s evolving fast. With new tools and updates dropping almost weekly, it’s becoming increasingly relevant for music producers.

With that in mind, Nate explores the current landscape to see just how far this tech has come. Can today’s software actually deliver usable, believable vocal lines for your tracks?

Starting with Suno and taking it further through tools like MicDrop, ACE Studio, and Dreamtronics Synthesizer V, Nate puts in the work to shape, enhance, and transform the output. It takes effort to get it sounding right—but the results might surprise you, especially considering no human vocalists were involved.

Give it a watch and let us know what you think in the comments. Is it time to embrace AI vocals as a creative tool—or do they still have a long way to go?

(Written by ChatGPT)

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This video is proof that ai wont be destroying music careers anytime soon, thank you.

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This is madness! AI is constantly under development so curious to see where these tools are at in 6-12 months.

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cool one!

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Thanks a lot again for a great tutorial. This I think shows best the potential with AI which not to use it as is and what a lot of people fear how people will use it, but rather as a sketch pad / starting point. You could then create better quality version or even change the vocals altogether with a powerful vocal synth like SynthV. Anyone who thinks this tool is not capable I suggest to check some of the covers people have done. For example Headlock by HARAAO, or Karma by Manny. Eclipse Sounds new HXVOC database is made for metal genres, but I think as a harder and very versatile voice has great potential for EDM too. Their Solaria as one of the older ones is also top notch.

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