deepfilternet3-onnx

Overview

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

Source

DeepFilterNet is a full-band 48 kHz speech enhancement framework. The upstream project documents DeepFilterNet3 as "DeepFilterNet: Perceptually Motivated Real-Time Speech Enhancement" and provides pretrained model weights.

Upstream project: Rikorose/DeepFilterNet

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

This repository does not document the exact export command or source checkpoint hash.
Runtime compatibility and numerical parity with the upstream implementation are not documented here.
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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