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Waves DeBreath - Breath Detection Plug-In (Native)

Waves DeBreath - Breath Detection Plug-In (Native)

Waves DeBreath - Breath Detection Plug-In (Native)

B&H # WADEBRNAQ MFR # DEBRQQ
Waves DeBreath - Breath Detection Plug-In (Native)

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Product Highlights

  • Separates Vocal and Breath Components
  • Vary Amount of Breath Content
  • Dual Display Graphs
  • Singers, Voice Overs and Multimedia
  • 64-bit Processing
  • Audio Units
  • RTAS/AudioSuite
  • VST
  • Mac OS X
  • Windows 7
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Overview
  • 1Description

DeBreath Native from Waves is a plug-in that can rescue the otherwise perfect vocal take that is marred by too much heavy breathing. That can be especially obvious when close-mic'ing a singer.

The plug-in utilizes a unique algorithm that automatically detects and separates a vocal take into two distinct components-only voice and only breath. At which point it is a simple matter of lowering the unwanted intrusions.

For situations where breath removal might sound artificial, a control allows for adding room tone to cover up the reduction or removal.

Main Features

Unique template-matching algorithm for breath detection
Breath and Energy display graphs
Voice-only or Breath-only monitoring
Up to 24-bit/96 kHz resolution
Mono only

Controls

  • Breath - 0% to 100% breath threshold
  • Energy (Gate) - -64 dB to 0 dB energy threshold
  • Reduction - -infinity to 0 dB gain reduction
  • Reduction Meter - -infinity to 0 dB
  • Fade Out - 0.1 ms to 200 ms
  • Fade In - 0.1 ms to 200 ms
  • Monitor - voice or breath
  • Room Tone - white noise on/off
Table of Contents
  • 1Description
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Specifications
System Requirements Mac
Core Duo 2.3 GHz
OS X 10.6.8 to 10.7
4 GB RAM
1024 x 768 minimum display resolution
Host application that supports Audio Units, RTAS, AudioSuite, and VST plug-in formats

PC
Intel Core 2 Duo GHz/AMD Athlon 64 or equivalent
Windows 7
4 GB RAM
1024 x 768 32-bit minimum display resolution
Host application that supports RTAS, AudioSuite, and VST plug-in formats

Waves DeBreath - Breath Detection Plug-In (Native) Review

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