SOFTWARE

Audio SR Studio

Next-Gen AI Audio Restoration & Super-Resolution

Audio SR Studio is a unified desktop environment designed for researchers, sound designers, and audio engineers to enhance, restore, and upscale audio using state-of-the-art deep learning models.

Rather than relying on isolated command-line scripts or fragmented web tools, Audio SR Studio integrates a powerful suite of neural networks into a single interactive workbench. The app is currently in development and will soon be shared openly on GitHub and Hugging Face.

Audio SR Studio Interface

The Core Innovation: Compare & Chain

The true power of Audio SR Studio lies in its workflow efficiency, resolving two major bottlenecks in AI audio processing.

1. Side-by-Side Comparative Analysis (A/B Testing)

Different AI models have distinct signatures—some excel at isolating pristine dialogue, while others generate rich high-frequency harmonics. Audio SR Studio lets you process the same source clip through multiple models and compare them instantly.

  • Synchronized Playback: Toggle synchronized playback to switch between tracks seamlessly. When you play a processed track, it starts at the exact millisecond you paused the previous one, allowing for true A/B comparison.
  • Isolate What the AI Did: Built-in difference signal computation allows you to isolate and listen only to what the AI added or removed.

Audio Examples

Play the tracks and use the Before/After toggle to instantly A/B compare the results of the processing models.

Vocal Super-Resolution Enhancement

Synchronized A/B Playback

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Full Mix Super-Resolution

Synchronized A/B Playback

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Audio SR Studio Chaining Workflow

2. Multi-Model Chaining (Iterative Processing)

Complex audio degradation requires multi-stage treatment (e.g., removing heavy background hum before upscaling muffled speech).

  • Seamless Cascading: With a single click of the Use as Input (🔄) button, any processed output is immediately loaded back as the source audio.
  • Unified Pipeline: Denoise a recording using one model, upscale its sample rate using a second, and apply final mastering polish with a third—all without exporting, renaming, or re-importing files.

Integrated Model Suite

Audio SR Studio aggregates over a dozen leading neural networks, categorized by their target application.

Speech Restoration & Enhancers
Integrated Models
Resemble Enhance, VoiceFixer, Apollo
Best For
Removing background noise, room reverb, distortions, and restoring natural speech clarity.
Fast Speech Super-Resolution
Integrated Models
FlashSR, NovaSR (52KB)
Best For
Ultra-fast bandwidth extension (upscaling speech from 16kHz to 48kHz) ideal for low-latency tasks.
Multi-Task & Separation
Integrated Models
ClearerVoice-Studio
Best For
Independent modules for Speech Enhancement (Denoising), Super-Resolution, and Speaker Separation.
Generative & Universal SR
Integrated Models
AudioSR, UniverSR
Best For
Upscaling arbitrary audio, music, and sound effects from any sample rate up to high-fidelity 48kHz.
Historical & Bandwidth Extension
Integrated Models
BEHM-GAN
Best For
Restoring vintage recordings, legacy telephone lines, or band-limited archival materials.
Premium Audio Mastering
Integrated Models
SonicMaster
Best For
Professional-grade spectral balancing, enhancement, and loudness mastering.

Interactive Workspace Features

Visual Analytics

Interactive Spectrogram & Waveform Visualization: View audio in both time and frequency domains simultaneously. Cleanly isolate loops and narrow down selections with draggable regions.

Precision Tuning

Granular Parameter Control: Every model card features an expandable settings panel allowing you to adjust model-specific parameters like diffusion steps (NFE), solver types, classifier-free guidance scale, and audio chunking.

Project Management

Organized Results History: A collapsible, resizable results pane keeps track of all runs, allowing you to easily rename files, compare outputs, and manage history.

Workflow Speed

Quick Export: Export any processed iteration instantly with the save button right next to the track list.