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Using Audientis · 13.8K views

How Audientis Audio Suggestions Work

Every recommendation is measurement-driven — here is the chain from analysis to suggestion.

Measure first

  • Short-time FFT analysis builds a per-band energy profile across the whole track.
  • Element detection separates kick, bass, vocals, drums and instruments by spectral and temporal fingerprints.

Then decide

  • Suggestions prefer cutting the masker over boosting the quiet element, so headroom is preserved.
  • Recommended gain changes are clamped to keep output at or below -1.0 dBTP with no hidden limiting.

You stay in control

  • Hear Problem isolates what is wrong, Hear Fix auditions the correction, Apply Fix commits it to the B path only.
  • Reset All returns to a bit-identical copy of your upload.

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