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kernel-tricks

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Ravisankar-S / env-sound-svm

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A supervised machine learning model that classifies environmental sounds (such as rain, thunder etc.) using Support Vector Machines and kernel-based feature transformations. Instead of using DNNs, this project leverages audio feature extraction (MFCCs, spectral features, chroma) and SVM’s mathematical rigor to recognize sound classes

svm hyperparameter-tuning non-linear-classification supervised-machine-learning kernel-tricks guarded-adaptive-kernel-selection
  • Updated Nov 5, 2025
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