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DialogCheck Crossgrade from Dehumaniser
NUGEN Audio

DialogCheck Crossgrade from Dehumaniser

Analysers & Metering
$199.50
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Product Overview

DialogCheck represents a significant shift in how post-production professionals approach dialog mixing. Rather than relying on subjective listening fatigue or guesswork, this intelligibility meter provides objective measurements powered by dual AI neural networks trained to predict how audiences will actually perceive speech clarity. The plugin operates as both a real-time analysis tool and historical reference, offering a realtime bar meter alongside a timecode-locked history graph that documents clarity fluctuations throughout your mix session.

The technical implementation addresses a genuine problem in modern production: listener preferences have shifted toward subtitles, with studies showing nearly half of viewers now require them due to poor dialog intelligibility. For engineers deep in a mix, hearing the same dialog hundreds of times creates a perceptual blindness that makes objective assessment nearly impossible. DialogCheck cuts through this by providing median clarity readouts, momentary clarity measurements, and user-definable percentile analysis across up to 7.1.4 channel configurations.

This crossgrade specifically targets Dehumaniser owners, acknowledging the natural workflow between creature vocal processing and speech intelligibility verification. The two tools complement each other - Dehumaniser handles creative character voice design while DialogCheck ensures the result remains comprehensible to audiences.

Among intelligibility metering solutions, DialogCheck stands apart through its AI-driven approach and comprehensive channel support. It's essential for dialogue-heavy productions, particularly in animation, visual effects-heavy sequences, and genre work where character vocalization processing might compromise clarity. The tool transforms dialog intelligibility from a subjective concern into a measurable parameter, providing the objective data that modern post-production workflows increasingly demand.

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