Lingeshg
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SpeechEmotionDetector

Voice Activity Detection

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Lingeshg commited on Sep 11

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@@ -117,9 +117,9 @@ print(f"Predicted Emotion: {emotion}")
 ## Training Procedure
-Preprocessing: Resampled all audio to 16kHz.
-Training: Fine-tuned facebook/wav2vec2-base with emotion labels.
-Hyperparameters: Batch size: 16, Learning rate: 5e-5, Epochs: 5
 ## Evaluation
 Testing Data

 ## Training Procedure
+ - Preprocessing: Resampled all audio to 16kHz.
+ - Training: Fine-tuned facebook/wav2vec2-base with emotion labels.
+ - Hyperparameters: Batch size: 16, Learning rate: 5e-5, Epochs: 50
 ## Evaluation
 Testing Data