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README.md

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+---
+license: cc-by-nc-4.0
+tags:
+  - audio-classification
+  - ai-music-detection
+  - forensic
+  - onnx
+language:
+  - en
+pipeline_tag: audio-classification
+---
+
+# ArtifactNet v9.4 — AI-Generated Music Forensic Detection
+
+ArtifactNet detects AI-generated music by extracting forensic residual artifacts via a task-specific UNet, rather than learning generator-specific patterns. This approach generalizes across 22 AI music generators with only 4.2M parameters.
+
+## Model Description
+
+- **Architecture**: ArtifactUNet (3.6M) + 7ch HPSS Forensic CNN (424K) = 4.2M total
+- **Input**: 44.1kHz mono audio, 4-second segments
+- **Output**: P(AI) ∈ [0, 1] per segment, song-level median verdict
+- **Format**: Single ONNX file (entire pipeline: STFT → UNet → HPSS → 7ch → CNN → sigmoid)
+
+## Performance (ArtifactBench v1, fair eval)
+
+| Metric | ArtifactNet (4.2M) | CLAM (194M) | SpecTTTra (19M) |
+|---|---|---|---|
+| **F1** | **0.983** | 0.824 | 0.766 |
+| **Precision** | 0.991 | 0.758 | 0.885 |
+| **Recall (TPR)** | 0.976 | 0.904 | 0.675 |
+| **FPR** | 0.015 | 0.705 | 0.214 |
+| @FPR≤5% TPR | **99.1%** | - | - |
+
+Evaluated on 8,766 tracks across 22 AI generators and 6 real music sources.
+
+## Usage
+
+```python
+import onnxruntime as ort
+import numpy as np
+import soundfile as sf
+
+# Load model
+sess = ort.InferenceSession("artifactnet_v94_full.onnx")
+
+# Load audio (44.1kHz mono, 4-second chunk)
+audio, sr = sf.read("track.wav", dtype="float32")
+if audio.ndim > 1:
+    audio = audio.mean(axis=1)
+chunk = audio[:4 * 44100].reshape(1, -1).astype(np.float32)
+
+# Inference
+prob = sess.run(None, {"audio": chunk})[0][0]
+print(f"P(AI) = {prob:.4f}")  # > 0.5 → AI-generated
+```
+
+For song-level verdict, compute median over multiple chunks.
+
+## Benchmark
+
+Evaluate with [ArtifactBench v1](https://huggingface.co/datasets/intrect/artifactbench-v1).
+
+## Citation
+
+```bibtex
+@article{oh2026artifactnet,
+  title={ArtifactNet: Detecting AI-Generated Music via Forensic Residual Physics},
+  author={Oh, Heewon},
+  year={2026}
+}
+```
+
+## License
+
+CC BY-NC 4.0