AudioPhaser
AI-Driven Phase Alignment and Spectral Audio Reconstruction for Professional Engineering
Broadcast-quality audio processing through intelligent automation and neural mastering.
AudioPreProduction represents a paradigm shift in audio engineering by replacing manual fader riding and complex plugin chains with a high-performance neural processing engine. By 2026, the platform has matured into a comprehensive cloud-native ecosystem capable of analyzing acoustic environments in raw recordings and applying corrective DSP in real-time. Its technical architecture is built on deep neural networks trained on decades of broadcast-standard audio, allowing for precise LUFS normalization (EBU R128, ATSC A/85) without introducing digital artifacts or pumping effects. The system specifically excels in speech intelligibility, utilizing spectral re-synthesis to restore lost frequencies in low-bitrate recordings. Its market position is unique as it bridges the gap between amateur content creation and professional studio mastering, offering a 'one-click' solution that handles multi-track balancing, sibilance control, and room tone matching. Designed for high-velocity media pipelines, it offers robust automation features via API, making it the preferred choice for podcast networks, audiobook publishers, and digital broadcasters who require consistency across thousands of hours of content without the overhead of a dedicated engineering team.
Uses GANs to reconstruct high-frequency data lost in compressed audio formats, restoring 'air' and clarity.
AI-Driven Phase Alignment and Spectral Audio Reconstruction for Professional Engineering
Real-time Neuro-Acoustic Generative Engine for High-Performance Workflows
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Analyzes the gain relationship between multiple speakers and automatically adjusts faders to maintain a consistent soundstage.
Synthesizes a matching background noise floor to fill silences created during editing, ensuring seamless transitions.
Hard-coded limiter and measurement engine that guarantees files meet international broadcast standards.
Integrates ASR (Automatic Speech Recognition) to automatically generate chapter markers based on topic changes.
Frequency-dependent compression that tracks the speaker's unique sibilance patterns in real-time.
Intelligently manages True Peak levels to prevent inter-sample clipping during D/A conversion.
Consistent audio quality across different guest microphones and remote recording environments.
Registry Updated:2/7/2026
Meeting strict ACX/Audible technical requirements for noise floor and peak levels.
Poor audio quality from webcam recordings in echoey meeting rooms.