Extract Dialogue - Acon Digital

Product Description

Extract:Dialogue is a plug-in that separates dialogue from common types of background noise such as wind, rustle, traffic, hum, clicks and pops. The algorithm works in real time and is based on deep learning. It has been trained on thousands of high-quality voice recordings and an equally extensive set of common noise sources. The extensive training enables the artificial intelligence to automatically distinguish dialogue from noise without user interaction. This makes Extract:Dialogue extremely easy to use – just add it to your dialogue bus and let it do its magic.

Even though the noise reduction is fully automatic, the plug-in interface does offer simple controls to adjust the sensitivity of the noise detection and the maximum noise attenuation. The sensitivity can even be adjusted independently in up to three frequency bands. The maximum attenuation control is very handy when you only want to reduce the noise without removing it completely. All the parameters are fully automatable as you would expect.

Acon Digital Extract:Dialogue is available as VST, VST3 or AAX for both Windows and Mac or as AU plug-ins for Mac. There are 32 and 64-bit versions for Windows. The Mac version is 64 bit and runs natively on both ARM (such as Apple M1) and Intel processors.

Platforms and Plug-in Formats

• Available as VST, VST3, or AAX plug-ins on PC (Windows)
• Available as VST, VST3, AAX, or AU plug-ins on Apple Macintosh (OS X)
• Native 32 bit or 64-bit versions of all plug-ins are available
• Supports sampling rates up to 96 kHz

Acon Digital Extract: Dialogue

• Fully automatic noise reduction based on deep learning
• Global sensitivity control
• Frequency-dependent sensitivity control in up to three bands: Low shelf, peak, and high shelf
• Adjustable maximum attenuation
• Solo noise mode
• Spectrum analyzer for input audio and removed noise
• Preset manager and a large number of factory presets
• Save, load, and categorize user presets
• Resizable graphical user interface

View Installation Instructions