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