8-band formant EQ tuned for AI vocal synthesis artifacts. Cuts the 2–3kHz robotic buzz, removes nasal resonance, adds natural warmth. A/B preview + WAV export. No upload.
Neural voice synthesis introduces characteristic frequency artifacts that don't exist in human vocal production. Here's what's actually happening in the spectrum:
Nasal resonance
Neural voice models frequently over-represent nasal cavity resonances, producing a honky, nasal quality not found in balanced human singing.
The AI buzz zone
The primary 'AI sound'. Formant energy at 2–3kHz is the frequency that separates clarity from buzz. Human voices move dynamically through this range; AI voices sit in it statically, creating the robotic buzz.
Metallic sheen
Digital synthesis artifacts at 3.5–5kHz create a metallic, processed timbre. Human vocalists naturally damp these resonances through soft tissue; AI models don't.
Missing warmth
AI vocals often lack fundamental body and chest resonance. The low-mid warmth of a real human voice is frequently absent, leaving the vocal sounding thin and disconnected from the mix.
Suno synthesizes vocals using neural network models trained on human recordings, but the generation process introduces characteristic artifacts that human voice production doesn't have. The most noticeable is a buildup of resonant energy in the 2–3kHz formant range — this creates the buzzy, synthetic timbre that immediately reads as AI-generated. Suno also lacks the natural micro-variations (pitch wavering, breath noise, formant shifting) that make human voices sound alive, which contributes to the robotic feel even after the buzz is reduced.
It applies an 8-band parametric EQ chain designed around the specific frequency signatures of AI vocal synthesis: a high-pass at 80Hz removes inaudible sub content, a 150Hz boost adds missing warmth and body, cuts at 800Hz (nasal) and 1.2kHz (boxy) remove resonance buildups from synthesis models, a -3dB cut at 2.5kHz directly targets the primary AI buzz zone, a cut at 3.5kHz handles the metallic formant sheen, a 5kHz cut smooths sibilance harshness, and an 8kHz high-shelf adds natural air and openness. All processing happens in your browser — nothing is uploaded.
Before. The EQ corrections — particularly the buzz zone cuts — recover headroom that the mastering limiter can then use more cleanly. The recommended workflow is: Suno export → Suno Audio Fixer (de-clipper) → Suno Clarity (mud EQ) → Suno Vocal Fix (formant EQ) → MixMasterAI mastering → download. If the track sounds good after the first two tools, Vocal Fix is optional — use it when vocals are prominently robotic.
The default is -3dB which suits most Suno vocal tracks. Use the A/B preview to assess — if the voice still sounds synthetic and buzzed, push to -4 or -5dB. If you cut too far, the voice will lose intelligibility and sound hollow. The safe range for most AI vocals is -2 to -5dB at 2.5kHz. Adjust by ear rather than by number. Tracks with minimal vocals or primarily instrumental content won't benefit much from this band.
Recommended Suno cleanup workflow
Suno Audio Fixer
De-clipper + de-sheener for digital clipping and metallic artifacts.
Suno Clarity Tool
5-band EQ targeting the 200–400Hz mud zone in AI music.
Free AI Mastering
Master your cleaned track to Spotify or Apple Music spec.
Vocal Remover
Separate vocals and instrumentals to fix each independently.
Full workflow: Suno Audio Fixer → Suno Clarity → Suno Vocal Fix → Free AI Mastering