作者: P. Vijaya Bhaskar Reddy , Siva Prasad Nandyala , J. Sirisha Devi
DOI: 10.1109/DISCOVER.2016.7806242
关键词:
摘要: In speech processing for speaker verification, feature subset selection is one of the key components. Feature Subset Selection (FS) also played a vital role in fields like pattern recognition, image processing, data mining, and gene selection. real world problem related to domain, sample contains large number relevant irrelevant features. To increase verification rate, needs use optimization technique after extraction technique. The ultimate goal select most features error free optimized classification domain. this regard novel algorithm proposed using Bat Multi Objective Optimization Results experiment shows surpassed accuracy rates shown by conventional systems.