Selection of features and speech segments for speaker verification
Wen-Chun Lin, Sasi K. Pillay · The Journal of the Acoustical Society of America · 1975
A speaker verification system based on the results of two thorough and systematic feature ordering techniques is described. First the Information Theoretic approach is used to reduce the redundancies among the features that are originally present in the feature pool. This selection procedure measures the amount of reduction in the uncertainty on deciding on the identity of the speaker when more features are added to the set of already picked features. Once the redundant features are removed, the Between-to-Within multifeature variance ratio feature ordering algorithm is applied. It is a linear transformation technique which transforms the pattern vectors from measurement space into a new vector space. In the new space, the optimum combination of interspeaker separability and intraspeaker variability is achieved with a few number of features. Based on the results of the feature ordering algorithms, the effectiveness of each segment is determined and a set of minimum number of features is chosen. Preliminary results show that just ten pitch periods in the sounds /el/ or /mi/ alone are sufficient to identify three speakers all the time.