deepfilternet3-onnx
Overview
This repository contains ONNX exports for DeepFilterNet3, a speech enhancement and noise suppression model.
Source
| Field | Value |
|---|
| Upstream model | 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.
