whisp_ee

WhisperClassifier for Binary Audio Classification

This is a binary classification model built on top of OpenAI's Whisper-small model. It takes audio features as input and predicts a binary class.

Model Details

• Base model: openai/whisper-small
• Task: Binary Audio Classification
• Training data: [Your training data details]
• Evaluation results: [Your evaluation metrics]

Usage

from transformers import WhisperProcessor
import torch
from predict import WhisperClassifier, predict, load_model

# Load processor and model
processor = WhisperProcessor.from_pretrained("ahmad1703/whis_ee")
model, device = load_model("model.pth")

# Example prediction
audio_path = "path/to/your/audio_file.wav"
result = predict(model, audio_path, processor, device)
print(f"Prediction: {result}")  # 0 or 1

Citation

If you use this model in your research, please cite:

@misc{whisperclassifier2025,
  author = {[Your Name]},
  title = {WhisperClassifier for Binary Audio Classification},
  year = {2025},
  publisher = {HuggingFace},
  howpublished = {\url{https://huggingface.co/ahmad1703/whis_ee}}
}