Create README.md

README.md

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+---
+language: en
+tags:
+- audio
+- voice-recognition
+- security
+- pytorch
+license: apache-2.0
+datasets:
+- your-dataset-name
+---
+
+# Voice Recognition Security Model
+
+This model provides secure voice recognition with transfer learning and data augmentation.
+
+## Usage
+
+```python
+from transformers import AutoModel
+import torch
+import joblib
+import librosa
+import numpy as np
+
+# Load model
+model = AutoModel.from_pretrained("your-username/your-model-name")
+label_encoder = joblib.load("label_encoder.joblib")
+feature_params = joblib.load("feature_params.joblib")
+
+# Prediction function
+def predict_voice(file_path):
+    # Extract features (same as during training)
+    features = extract_features(file_path, feature_params['max_pad_len'])
+    features = torch.tensor(features).unsqueeze(0).unsqueeze(0)
+    
+    # Predict
+    with torch.no_grad():
+        outputs = model(features)
+        _, predicted = torch.max(outputs, 1)
+    
+    return label_encoder.inverse_transform([predicted.item()])[0]