audiosronnx-frcrn
ONNX export of FRCRN_SE_16K from
ClearerVoice-Studio (Alibaba,
Apache-2.0), for the frcrn denoise engine in
audiosronnx.
FRCRN (Frequency Recurrent CRN) placed 2nd in the 2022 DNS Challenge and reports PESQ 3.23 / STOI 0.95 / SI-SDR 19.22 on VoiceBank+DEMAND.
The graph is waveform-to-waveform at 16 kHz with a dynamic length axis:
noisy[1, T] -> enhanced[1, T]
Its STFT/ISTFT are ConvSTFT/ConviSTFT — Conv1d layers with Fourier kernels, not
torch.stft — so the whole two-UNet complex-mask pipeline exports as one static graph
and inference is onnxruntime-only.
| File | Rate | Size |
|---|---|---|
frcrn.onnx |
16 kHz | 57.5 MB |
Validated against the upstream ClearerVoice pipeline end-to-end: correlation 0.99999994, 57.6 dB SNR (residual is fp32 rounding).
Usage
from audiosronnx import load_denoise
dn = load_denoise("frcrn")
clean, rate = dn.denoise("noisy.wav") # -> (float32 mono, 16000)
License
Apache-2.0, inherited from ClearerVoice-Studio.