October 31, 2025
Suno or So‑No?
How AI gave me my voice back – an artist's review of Suno Studio
Singer says AI saved his voice; internet screams “slop” while bedroom producers cheer
TLDR: An artist with chronic health issues used Suno’s AI to generate instruments and most vocals, letting him release music without damaging his voice. Commenters split: critics call it “slop” and public‑relations spin, while hobbyists praise faster, accessible music‑making—spotlighting the fight between accessibility and authenticity in the future of art.
Artist Andy says Suno Studio let him make an EP without wrecking his voice, using AI to perform instruments and most vocals while he sang small parts. That tender backstory lit a fuse online. One camp slammed the tracks as soulless, with “slop” becoming the word of the day. Commenters like varispeed called it “generic slop,” and mplewis went nuclear with “Nah fuck this. Suno is slop.” But the bedroom‑producer crowd pushed back: standardly said they had a BLAST fixing old songs and pulling stems, admitting it’s not pure authorship, yet still fun and empowering.
Then came the pragmatists: a producer cited a chat with a Wavtool founder (now at Suno) who says the mission is simple—cut time from idea to finished track. Critics weren’t buying it. rza1725a accused the “AI saved me” narrative of slick marketing to distract from lost jobs and YouTube’s rising background‑muzak tide. Meme watch: a drinking game—shot on every “slop.” In between the mud‑slinging, people agreed on one thing: vocal extraction is scarily good, while precise melodies still wobble. The bigger fight? Accessibility versus authenticity. Is AI a lifeline for hurt artists—or a fast lane to mass‑produced music sludge? The internet can’t decide.
Key Points
- •The EP’s instruments and most vocals were generated with Suno Studio; limited human vocals appear on one track’s second verse.
- •Chronic health issues drive the use of AI, reducing singing time to about 30–60 minutes per track to avoid injury.
- •Each song took approximately four days to produce, using an iterative workflow with Suno for generation and Bitwig for recording/mastering.
- •Suno’s stem separation is especially effective for vocals; instrument separation can show artifacts or bleed.
- •A practical strategy is to generate a full song in the target vocal style and extract vocals, while precise control over melodies/parts remains challenging.