Speech Restoration Bundle

The Speech Restoration Bundle contains :

• DeRoomPro
• VoiceGate
• SpectralBalance

Remove Reverb with DeRoom Pro

DeRoom Pro is a Machine-Learning based reverb removal audio plug-in built for professional use. An artificial neural network has been trained on many different room scenarios in order to be able to separate direct sound from reflection components. The real-time processing scheme provides instantaneous feedback while changing parameters and allows seamless integration into your workflow without having to switch applications.

• Room Resonance Suppression
• Reverb Removal
• Automatic Room Size Detection
• Pro-Algorithm
• Spectral Focus Mode
• Attack/Release Controls
• Only Reverb Listening
• Separate L+R Channel Processing
• Spectrogram and Gain Visualization

Remove Noise with VoiceGate

VoiceGate is a Machine-Learning based audio plug-in which can be used to reduce noise from speech and vocal recordings in real-time. An artificial neural network has been trained on thousands of  different audio recordings to learn the characteristics of human speech. The plugin can automatically adapt to any type of noise and lets you easily control the amount of noise reduction you need. VoiceGate removes noise and cleans up your recordings with just a few clicks!

• Deep Neural Networks
• Automatic Adaptation
• Time saver
• Highly Optimized De-Noising

Automatically Equalize Speech with SpectralBalance

SpectralBalance is an intelligent equalizer plugin for dialogue recordings. By continuously analysing the audio signal it automatically adapts its EQ-curve to correct spectral imbalances in order to achieve clear neutral sounding speech. The efficient workflow makes it a very useful and time-saving tool for professionals who have to deal with many different dialogue takes with individual spectral characteristics. Additionally, SpectralBalance lets you define custom EQ targets which makes it a valuable helper for ADR matching.

• Time saver
• Dynamic mode
• Efficient Processing
• Custom EQ targets

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