Publish validated DPDFNet-8 48 kHz HR Core ML models

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LICENSE

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README.md

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+---
+license: apache-2.0
+library_name: coreml
+tags:
+- coreml
+- audio
+- speech-enhancement
+- noise-suppression
+- streaming
+- dpdfnet
+- 48khz
+---
+
+# DPDFNet-8 48 kHz HR Core ML
+
+Stateful Core ML and MLX assets for CEVA's high-resolution **DPDFNet-8 48 kHz HR** speech-enhancement model. This is a separate architecture/profile from DPDFNet-4 and is supported by the [`DeepFilterNetCoreML`](https://github.com/kylehowells/DeepFilterNet-mlx) Swift product.
+
+## Origin
+
+- Official implementation: [ceva-ip/DPDFNet](https://github.com/ceva-ip/DPDFNet)
+- Official models: [Ceva-IP/DPDFNet](https://huggingface.co/Ceva-IP/DPDFNet)
+- Paper: [DPDFNet](https://arxiv.org/abs/2512.16420)
+- Swift runtime and conversions: [kylehowells/DeepFilterNet-mlx](https://github.com/kylehowells/DeepFilterNet-mlx)
+- Conversion script: [`Scripts/Conversion/convert_dpdfnet_to_coreml.py`](https://github.com/kylehowells/DeepFilterNet-mlx/blob/feature/deepfilternet4/Scripts/Conversion/convert_dpdfnet_to_coreml.py)
+
+## Runtime contract
+
+| Property | Value |
+|---|---:|
+| Sample rate | 48,000 Hz |
+| Input hop | 480 samples / 10 ms |
+| FFT | 960 samples |
+| DPRNN blocks | 8 |
+| Fixed algorithmic delay | 2,400 samples / 50 ms |
+
+## Recommended model
+
+`DPDFNet8-48kHz-HR-Streaming-FP32.mlpackage` is the production default. Conversion validation against PyTorch produced effectively perfect output correlation (0.999999999998). FP16 explicit-state and resident-state variants are included for experimentation but are not selected automatically because their fidelity is lower.
+
+Current 60-second Swift/Core ML validation: 38.664 seconds total (1.55x real time), with 0.99999966 waveform correlation to official ONNX. Live p50/p95 model processing latency was 6.326/7.067 ms on the development Apple Silicon Mac. Device results vary.
+
+## Swift usage
+
+```swift
+import DeepFilterNetCoreML
+
+let enhancer = try await DeepFilterNetCoreMLStreamer.load(
+    configuration: .init(variant: .dpdfNet8HighResolution)
+)
+let output = try enhancer.processHop(input480Samples)
+```
+
+## Files
+
+- `DPDFNet8-48kHz-HR-Streaming-FP32.mlpackage`: recommended explicit FP32 state graph.
+- `DPDFNet8-48kHz-HR-Streaming.mlpackage`: explicit FP16 state graph.
+- `DPDFNet8-48kHz-HR-Streaming-State.mlpackage`: Core ML `MLState` graph.
+- `DPDFNet8-48kHz-HR-initial-state-f32.bin`: canonical recurrent-state initialization.
+- `config.json` and `model.safetensors`: matching Swift MLX/DSP model assets.
+- `conversion-report.json`: graph-level validation and measured conversion latency.
+
+## License
+
+Apache-2.0, matching the official CEVA DPDFNet repository. See `LICENSE` and the original project.

SHA256SUMS

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+c71d239df91726fc519c6eb72d318ec65820627232b2f796219e87dcf35d0ab4  ./LICENSE
+ced51d06bc4f2b8260407d5df6a9de7e87dfb80dd1d30e3a6856c9d3a810f400  ./README.md
+ca787c043b023a1aad33c50b0a7896e4d32f86355676410639634494a43abbaa  ./config.json
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+f4f30be629b89e8a948e896c0ff94ed40be4dd3bb802b4ffcff226ed60f4f386  ./model.safetensors

config.json

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+{
+  "model_version": "DPDFNet8_48kHz_HR",
+  "dpdfnet_profile": "48khz_hr",
+  "sample_rate": 48000,
+  "fft_size": 960,
+  "hop_size": 480,
+  "min_nb_erb_freqs": 2,
+  "nb_erb": 481,
+  "nb_df": 96,
+  "dprnn_num_blocks": 8,
+  "dprnn_erb_bins": 40,
+  "dprnn_df_bins": 48,
+  "encoder_erb_strides": [
+    1,
+    3,
+    2,
+    2
+  ],
+  "decoder_erb_strides": [
+    2,
+    2,
+    3
+  ],
+  "feature_type": "magnitude_48khz_hr",
+  "mask_type": "magnitude",
+  "df_order": 5,
+  "df_lookahead": 2,
+  "conv_lookahead": 2,
+  "conv_ch": 64,
+  "emb_hidden_dim": 256,
+  "emb_num_layers": 2,
+  "df_hidden_dim": 256,
+  "df_num_layers": 2,
+  "gru_groups": 1,
+  "linear_groups": 16,
+  "enc_linear_groups": 32,
+  "group_shuffle": false,
+  "enc_concat": true,
+  "df_gru_skip": "groupedlinear",
+  "conv_kernel": [
+    1,
+    3
+  ],
+  "convt_kernel": [
+    1,
+    3
+  ],
+  "conv_kernel_inp": [
+    3,
+    3
+  ],
+  "df_pathway_kernel_size_t": 5,
+  "lsnr_max": 35,
+  "lsnr_min": -15,
+  "decoder_upsample_type": "subpixel",
+  "source_checkpoint": "dpdfnet8_48khz_hr.pth",
+  "source_repository": "https://github.com/ceva-ip/DPDFNet",
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conversion-report.json

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+}

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