---
license: apache-2.0
pipeline_tag: audio-to-audio
tags:
- onnx
- audio
- speech-enhancement
- noise-suppression
- deepfilternet
- deepfilternet3
---

# deepfilternet3-onnx

## Overview

This repository contains ONNX exports for DeepFilterNet3, a speech enhancement and noise suppression model.

## Source

| Field | Value |
|---|---|
| Upstream model | [Rikorose/DeepFilterNet](https://github.com/Rikorose/DeepFilterNet) (DeepFilterNet3 weights) |
| Upstream source revision | `dcbbe520263d1061693c4c4a56a6d6a917f30b25` |
| Packaging source revision | `dcbbe520263d1061693c4c4a56a6d6a917f30b25` |
| Export tool/script | `torch.onnx` export from DeepFilterNet3 checkpoint |
| Quantization recipe | FP32 ONNX (`enc.onnx`, `erb_dec.onnx`, `df_dec.onnx`) |
| Notes | Upstream weights are from the DeepFilterNet GitHub project; ONNX graphs are pinned at the packaging revision above. |

## Precision and Packaging

Export tooling, precision, and quantization are recorded in the **Source** table above. This packaging mirror does not publish independent parity benchmarks; validate on your target execution provider before production use.

## Files

| File | Description |
|---|---|
| `enc.onnx` | Encoder ONNX model |
| `erb_dec.onnx` | ERB decoder ONNX model |
| `df_dec.onnx` | Deep filtering decoder ONNX model |

## Intended Use

Use these ONNX model files for speech enhancement and noise suppression experiments or integration work.

## Training Data

Not documented in this repository. See the upstream DeepFilterNet project and paper for training details.

## Evaluation

No repository-specific ONNX evaluation results are documented here.

## Limitations

- DeepFilterNet usage examples commonly target 48 kHz audio; validate input requirements before deployment.

## License

Apache-2.0. The upstream DeepFilterNet project is dual-licensed under MIT or Apache-2.0.