Max-Fusion of Random Ensemble Subspace Discriminant with Aggregation of MFCCs and High Scalogram Coefficients for Acoustics Classification

In this paper, a random sub-space discriminant classifier for classifying acoustic devices that combines the features obtained from Mel-frequency cepstral coefficients (MFCCs), and scalogram coefficients is proposed. The aggregated features for the random ensemble sub-space discriminant classifier model are used. The maximum weight fusion mechanisms are used to fuse the ensemble classifier’s resul...