Audiosronnx Frcrn

--- license: apache-2.0 library_name: audiosronnx pipeline_tag: audio-to-audio tags: - speech-enhancement - denoising - noise-suppression - onnx --- # audiosronnx-frcrn ONNX export of **FRCRN_SE_16K** from [ClearerVoice-Studio](https://github.com/modelscope/ClearerVoice-Studio) (Alibaba, Apache-2.0), for the `frcrn` denoise engine in [audiosronnx](https://github.com/TigreGotico/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 ```python 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.

Source context: 0 downloads · 0 likes · Pipeline audio-to-audio · Library audiosronnx · Repo TigreGotico/audiosronnx-frcrn