14-10-12 Lantian Li
1. Comparison of Two Methods for Kmeans Clustering
1）Means_model: Building virtual speaker models by calculating means.
2) Real_model: Searching for the nearest model around each virtual model.
Results show that the two methods is similar.
2. Design three-dimensional score vectors, each dimension of the vector is the system-score, tnorm-score, crank.
3. By means of SVM, making a binary classification of all score vectors.
1. Statistical classification results, comparion with the eer result.
2. Expecting to use MLP to make classification .