Achieving the Studio Look (and Sound)
Creating an AI cover is easy, but making it sound professional is an art. If you're looking to bridge the gap between "fun hobbyist" and "studio quality," use these seven proven strategies.
1. Clean the 'Source' Audio
AI conversion is like a magnifying glass. If your source song has noise, echo, or artifacts, they will be magnified. Use high-quality stems or a professional vocal isolator before generating.
2. Match the Vocal Range
Don't ask a baritone (deep) voice to sing a Mariah Carey hit without a pitch shift. If the original singer is much higher than your AI's natural range, shift the pitch +12.
3. The 'Breath' Secret
Check if your AI model captures breath sounds. Most RVC models do! Don't cut them out completely; they add a human element that makes the conversion believable.
4. Subconscious Volume Normalization
Before converting, try to keep your source vocal at a consistent volume. Use a Compresso (e.g., in Audacity or a DAW) so the AI doesn't have to deal with sudden volume spikes.
5. Experiment with Voice Strength (0.70 - 0.85)
Don't always stick to 0.75.
- Some voices sound better and more "flexible" at 0.70.
- Some iconic voices need 0.85 to really "pop" through the mix.
6. Post-Conversion Mixing (EQ)
AI can sometimes add a bit of harsh "high-frequency" hiss (sibilance). Use a bit of Equalization (EQ) to slightly dip the frequencies around 6000Hz - 8000Hz to smooth out the voice.
7. The Power of Dataset Variety
If a voice profile isn't "singing" correctly, go back to the dataset. Did you include enough emotional variation? Try adding 1 minute of intense singing and 1 minute of soft singing to the training data.
Summary: The key to pro covers isn't a secret button; it's the attention to detail before, during, and after processing.