Audiosronnx Dpdfnet

--- license: apache-2.0 library_name: audiosronnx pipeline_tag: audio-to-audio tags: - speech-enhancement - denoising - noise-suppression - streaming - onnx --- # audiosronnx-dpdfnet ONNX weights for the **`dpdfnet`** denoise engine in [audiosronnx](https://github.com/TigreGotico/audiosronnx) — a mirror of [Ceva-IP/DPDFNet](https://huggingface.co/Ceva-IP/DPDFNet) (Apache-2.0), pinned so the library can resolve a fixed revision. DPDFNet (*Dual-Path RNN-based DeepFilterNet*) is a streaming speech denoiser built on DeepFilterNet2. Each graph is stateful and consumes one STFT frame at a time: ``` spec[1, 1, F, 2], state[S] -> spec_e[1, 1, F, 2], state[S] ``` The Vorbis-windowed STFT/ISTFT runs in numpy inside audiosronnx, so inference is onnxruntime-only — no torch, and no `libdf` (unlike the DeepFilterNet3 engine). | File | Rate | Size | |------|------|------| | `baseline.onnx` | 16 kHz | 8.7 MB | | `dpdfnet2.onnx` | 16 kHz | 10.2 MB | | `dpdfnet4.onnx` | 16 kHz | 11.6 MB | | `dpdfnet8.onnx` | 16 kHz | 14.5 MB | | `dpdfnet2_8khz.onnx` | 8 kHz | 10.2 MB | | `dpdfnet8_8khz.onnx` | 8 kHz | 14.6 MB | | `dpdfnet2_48khz_hr.onnx` | 48 kHz | 10.5 MB | | `dpdfnet8_48khz_hr.onnx` | 48 kHz | 14.9 MB | The adapter reproduces the upstream reference implementation to **max abs err 1.7e-8** (correlation 1.000000) on identical input. ## Usage ```python from audiosronnx import load_denoise dn = load_denoise("dpdfnet") # dpdfnet2_48khz by default clean, rate = dn.denoise("noisy_call.wav") dn = load_denoise("dpdfnet", model="dpdfnet8") # 16 kHz, highest quality dn = load_denoise("dpdfnet", attn_limit_db=12) # keep a natural noise floor ``` ## License Apache-2.0, inherited from the upstream DPDFNet release.

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