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README.md

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+# Pyannote Segmentation Model - Bengali/Multilingual
+
+Fine-tuned version of `pyannote/segmentation-3.0` for Bengali and multilingual speaker diarization.
+
+## Training Data
+- **DISPLACE24**: 67 recordings (Dev + Eval)
+- **DISPLACE26**: 125 recordings (Hindi)
+- **Synthetic Bengali V4**: 300 synthetic recordings (1-30 speakers)
+- **Total**: 492 recordings
+
+## Performance
+- **Best Validation Accuracy**: 76.67%
+- **Training Epochs**: 18
+
+## Training Details
+- Heavy on-the-fly augmentation (noise, volume variation)
+- OneCycleLR scheduler with warmup
+- Label smoothing (0.1)
+- Gradient clipping
+
+## Usage
+
+```python
+from pyannote.audio import Model
+
+model = Model.from_pretrained("smam/pyannote-segmentation-bengali-multilingual")
+```
+
+## Citation
+Fine-tuned as part of DLSPRINT26 Bengali Speaker Diarization Challenge.