Feature Analysis and Selection in Acoustic Events Detection

This study aimed at demonstrating the AED derived feature component significantly outperforming MFCC features or log frequency filter parameters. This is effectively achieved without increasing the number of parameters in acoustic events detection under the speech and other audio sounds recognition. This has been made possible and suitable for the use of AdaBoost approach as discussed in the paper.