This creates the infamous "underwater" sound. The vocals become thin, phasey, and lose all low-end warmth. Why? Because drums are also center-panned. You’ve just made a trade: vocals for fidelity. Spell #2: The "Deep Learning" (OpenVINO) This is the modern, slightly terrifying approach. Audacity now supports AI-powered plugins (like OpenVINO or using external tools like UVR). This doesn't rely on stereo trickery. Instead, a neural network has been trained on thousands of songs to "learn" what a human voice sounds like vs. a guitar vs. a drum.
If the song has heavy stereo reverb on the voice (common in shoegaze or 80s ballads), you are doomed. The reverb is spread to the sides, so when you cancel the center, you lose the voice but keep the echo. You end up with a ghost singing from a well. vocal isolation audacity
Then came Audacity. And with a few clever clicks, you can become an audio alchemist. This creates the infamous "underwater" sound
Hit play, and the lead singer will literally vanish like a ghost. You’re left with a karaoke track. But wait—you wanted the voice , not the backing track. So instead, you choose "Isolate Center" and then... silence? No. You get the voice plus everything else that was in the center: the kick drum, the snare, the bass guitar. Because drums are also center-panned
For decades, this was impossible. A finished stereo mix was considered a "brick wall"—you couldn't pull the bricks out without breaking the wall.
You highlight a section of music. The AI analyzes the waveform and asks, "Does this frequency pattern match a human larynx or a cymbal crash?" It then tries to erase the non-voice parts.