A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is
2012 International Conference on Computer Science and Service System
In this paper, we propose an approach for textindependent speaker verification system usage both cepstral and prosodic features. We combine MFCC features and pitch contour features to capture the characteristics in speaker verification. We are using cubic polynomials to estimate the pitch contour segments in order to model the differences on intonation contour, and using the support vector machine (SVM) to measure overall system's effectiveness. Experimental results show that the proposeddoi:10.1109/csss.2012.101 fatcat:rvisim3ymbgbvobjlho7ydevgq