Tools like Audimee are genuinely useful. They are not magic. Here is what happens when you run a breathy or raspy Suno vocal through one, based on a real client project, not a demo reel.
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A client sent over a Suno track to have the instrumental rebuilt. The vocal had a lot of breathiness and a raspy quality in places, the kind of texture that sounds expressive on an AI export but is genuinely hard source material to work with. We ran it through Audimee to convert it to a cleaner, more consistent voice.
The result switched back and forth. In places, the conversion sounded great. In others, it dropped back toward something closer to the original AI vocal, or produced artifacts that made the switch obvious. Not a tool malfunction, not user error, just a real limitation meeting a real vocal.
Voice conversion tools map the characteristics of your source vocal onto a different voice model. That mapping process has a sweet spot, and breathy or raspy vocals sit right outside it.
Breathiness carries a lot of non-tonal, noise-like energy. The model has to decide whether that’s part of the performance or artifact, and it doesn’t always decide correctly.
A raspy or gravelly texture makes the underlying pitch harder to track cleanly. If the model can’t lock onto a clear pitch, the converted output can warble or lose stability.
This is the part that surprises people. It rarely fails completely, it fails inconsistently, sounding great in one phrase and rough in the next. That inconsistency is often more noticeable than a vocal that’s uniformly imperfect.
Listen to your original Suno vocal in isolation, no instrumental, no reverb masking it. Focus on the breathy or airy parts, the ends of phrases, any rasp or grit in the tone. If those moments are a small part of the performance, conversion will likely go smoothly. If they’re a defining characteristic of the vocal, expect some inconsistency.
This isn’t a reason to avoid voice conversion tools, most vocals convert just fine. It’s a reason to set the right expectation before starting, instead of being surprised by it mid-project.
Keep the original Suno vocal as-is. It’s not a failure, it’s just the source material, and a fully rebuilt, human-produced instrumental around it still moves the track out of the "fully AI-generated" category on most platforms. The vocal component stays declared as AI, but the track as a whole is treated differently.
Or replace it with a real recorded vocal. That removes the problem at the root, since there’s no conversion happening at all, just a genuine human performance. It’s the only option that fully eliminates the AI vocal question, not just works around it.
I rebuild Suno and Udio tracks from the stems with real human production. If your vocal is a tricky case, I’ll tell you honestly what’s realistic before we start, not after you’ve paid.
See the humanization service →Not a sponsored comparison. This article reflects one real project and general knowledge of how voice conversion works, not a formal technical audit of Audimee or any other tool. Results vary by vocal and by tool version. Last updated: August 2026.