metadata
license: apache-2.0
tags:
- audio
- music
- audio-processing
- restoration
- flow-matching
- siren
pipeline_tag: audio-to-audio
library_name: pytorch
SIREN-FIX
Neural Audio Restoration with Flow Matching
SIREN-FIX is part of the SIREN Audio Suite - a family of neural audio processing models designed for professional music production workflows.
Model Description
SIREN-FIX restores and repairs damaged audio using a Flow Matching architecture with text-conditioned restoration. The model can denoise, declip, dereverb, and enhance audio quality guided by natural language prompts.
Key capabilities:
- Denoising - Remove background noise and hiss
- Declipping - Repair clipped/distorted audio
- Dereverberation - Remove unwanted room acoustics
- Text-guided restoration - Describe desired output in natural language
- General enhancement - Improve overall audio clarity
Architecture
| Component | Details |
|---|---|
| Base Architecture | Flow Matching |
| Model Size | 900M parameters |
| Sample Rate | 44.1 kHz |
The SIREN Family
| Model | Purpose |
|---|---|
| SIREN-FX | Neural audio effects |
| SIREN-FIX | Audio restoration and repair (this model) |
| SIREN-MASTER | Audio enhancement and mastering |
| SIREN-STEER | Steerable audio transformations |
| SIREN-SEPARATE | Source separation |
| SIREN-TRANSCRIBE | Music analysis (key, tempo, beats) |
Usage
import torch
# Load model
checkpoint = torch.load('siren_fix.pt', map_location='cpu')
model_state = checkpoint['model_state_dict']
# Model expects audio at 44.1kHz
# Input: damaged/noisy audio
# Output: restored clean audio
Training Details
- Training Data: Paired damaged/clean audio dataset
- Training Duration: 100 epochs
- Hardware: NVIDIA B200 GPUs
Intended Use
- Audio restoration and cleanup
- Noise removal from recordings
- Declipping distorted audio
- Removing unwanted reverb
- Research in neural audio restoration
Limitations
- Optimized for 44.1kHz sample rate
- Restoration quality depends on damage severity
- Text conditioning requires descriptive prompts
License
Apache 2.0
Citation
@software{siren_fix_2026,
title={SIREN-FIX: Neural Audio Restoration with Flow Matching},
author={SIREN Team},
year={2026},
url={https://huggingface.co/hilarl/siren-fix}
}