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Accentize Complete Bundle 2021.10 x64

BaDshaH Software 21 Oct 2021, 13:21 0

Accentize Complete Bundle 2021.10 x64
VST3, AAX | File size: 299 MB

Accentize is a young start-up based in Darmstadt, Germany which develops cutting-edge audio processing software using machine learning techniques. After some years of academic research we realized that there is a huge gap between state-of-the-art theoretical insights and available productive implementations. Our products aim at filling this gap by applying intelligent algorithms to common audio processing challenges. Most of our currently available products focus on speech enhancing and restoration applications for post-production and content creation.


Included:
• Chameleon v1.0.7
• DeRoom v1.1.9
• DeRoom Pro v1.1.1
• DialogueEnhance v1.1.9
• PreFET v1.0.1
• PreTube v1.1.1
• SpectralBalance v1.0.7
• VoiceGate v1.6.7

DeRoom is a machine learning based module for reducing or removing room reverberation and resonance in real time. The artificial neural network has been trained in many different room scenarios to be able to separate direct sound from reflection components. Reverb and echo tails are automatically detected and then precisely suppressed or, if desired, removed entirely. DeRoom is ideal for enhancing the quality and intelligibility of speech recorded in highly reverberant environments.

DeRoom Pro is a machine learning based reverb removal module designed for professional use. An artificial neural network has been trained for many different room scenarios to be able to separate direct sound from reflective components. Real-time processing circuitry provides instant feedback on parameter changes and enables seamless integration into your workflow without the need to switch applications.

DialogueEnhance is an intelligent tool for automatic speech processing. You can use it to easily improve the quality of your speech recordings without having to adjust many parameters. The signal is processed by four different modules: Noise Reduction, Auto EQ, Dynamic Recovery, Volume Boost. A useful tool for podcast and video editors!

PreFET is a machine learning based transistor preamp emulation that was developed using the same concept as PreTube. The included artificial neural network learned to accurately simulate the transistor stage of the preamplifier of a desktop cassette recorder of the 70s. Depending on the settings, PreFET can color your sounds from subtle analogue saturation to heavy overdrive.

PreTube is a machine learning based tube preamp emulation that adds subtle analog richness to your instruments or vocals. The included artificial neural networks have learned to accurately simulate the behavior of real high-performance hardware circuits. Choose from three different amplifiers with different characteristics to find the most suitable sound for your project. PreTube is also a valuable addition to your mastering chain, adding analog depth and warmth.

SpectralBalance is a smart equalizer plugin for recording dialogues. By constantly analyzing the audio signal, it automatically adapts its EQ curve to correct spectral imbalance in order to achieve pure, neutral speech. An efficient workflow makes it a very useful and time-saving tool for professionals who have to deal with many different dialogues with individual spectral characteristics. Automatic adaptation is also useful for live performances with multiple potentially moving speakers.

VoiceGate is a machine learning based module that can be used to reduce noise in speech and voice recordings in real time. The artificial neural network has been trained on over 100 hours of audio data to study the characteristics of human speech. The plugin can automatically adapt to many different types of noise and allows you to easily control the level of noise reduction you want.

Whats New:
Updates: official site does not provide any info about changes in this version.

System requirements:
Windows 7 (64-bit) or later, 4 GB RAM, Dual-Core CPU 2GHz

HOMEPAGE
https://www.accentize.com/Products


Accentize Complete Bundle 2021.10 x64

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