De-Feedback V1
Alpha Labs De-Feedback V1
AI-Powered Feedback Control. Cleaner Vocals. Zero Added Plugin Latency.
Take control of live microphone feedback with Alpha Labs De-Feedback V1, an advanced AI-powered audio plugin designed to increase gain before feedback while reducing room reverb and unwanted background noise. Built for live sound reinforcement, it helps vocal microphones remain clear and intelligible at higher levels without relying entirely on aggressive EQ cuts or conventional feedback suppression techniques.
Whether you're working with live vocals, presentations, spoken-word performances, or demanding stage environments, De-Feedback provides an intelligent approach to cleaning up microphone signals in real time while aiming to preserve the natural character of the original voice.
Three Powerful Functions in One Plugin
- AI Feedback Suppression: Helps reduce the buildup of feedback frequencies, allowing you to achieve greater usable microphone gain before feedback occurs.
- Room Reverb Reduction: Reduces unwanted room reflections and reverberation, helping vocals sound more direct and intelligible.
- Background Noise Reduction: Suppresses unwanted ambient noise so the intended vocal signal can stand out more clearly.
Advanced AI Processing
Unlike traditional approaches that depend heavily on static EQ notches, De-Feedback uses a specialized AI model trained to identify and reduce feedback, reverberation, and background noise in real time. This allows it to address several common live-sound problems through a single processing tool.
The processing is designed to preserve the original vocal tone under normal operating conditions, helping engineers achieve cleaner, more controlled microphone signals without unnecessarily reshaping the voice.
Zero Added Plugin Latency
De-Feedback is designed to operate with zero added plugin latency, making it particularly useful for live applications where timing and monitoring response are critical. The actual end-to-end latency still depends on your computer, audio interface, buffer settings, and signal routing.
Simple, Practical Operation
- Automatic AI Processing: No manual feedback-frequency hunting is required for normal operation.
- Adjustable Processing Strength: Control the amount of processing to suit the needs of your signal.
- Mono and Stereo Support: Process individual vocal channels or suitable stereo microphone signals.
- Low-Latency Live Workflow: Designed for demanding real-time sound applications.
- Broad Sample-Rate Support: Supports standard sample rates from 44.1 kHz to 96 kHz.
Ideal Applications
- Live Vocals: Help singers maintain clarity and presence in challenging acoustic environments.
- Houses of Worship: Improve vocal intelligibility in reverberant spaces.
- Conferences & Presentations: Reduce unwanted room sound and background noise from speech microphones.
- Live Events: Help manage feedback in venues ranging from smaller stages to larger performance spaces.
- Professional Sound Reinforcement: Integrate AI-based vocal cleanup into compatible live audio systems.
Compatibility & System Requirements
- Operating Systems: Windows and macOS.
- Plugin Format: VST3.
- Mac Support: Audio Units (AU) and VST3 builds are available; Apple Silicon systems are recommended for demanding low-latency processing.
- Sample Rates: 44.1 kHz to 96 kHz.
- Processing Requirements: Very high CPU performance may be required for reliable live operation at extremely low buffer sizes.
Important: De-Feedback is a CPU-intensive real-time processor. Actual performance depends heavily on your computer and audio configuration. Alpha Labs recommends specific verified hardware platforms for demanding live use. The plugin helps reduce feedback but does not guarantee that feedback will be eliminated under every condition.
Cleaner vocals. More usable gain. Greater control over your live sound. Alpha Labs De-Feedback V1 combines AI-driven feedback suppression, dereverberation, and noise reduction in one specialized plugin built for engineers who need dependable vocal clarity in challenging live environments.
