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low-resource-speech-processing

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Developed an interpretable machine learning pipeline for low-resource Tamil speech emotion recognition, integrating acoustic feature engineering, comparative classifier evaluation, and SHAP/LIME-based explainability to establish reproducible baselines for emotion-aware speech systems.

  • Updated Sep 5, 2026
  • Jupyter Notebook

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