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.

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