0920 - Lantian Li
1. To go on studying a scoring method on GMM-UBM aiming to design a cohort reference speaker models.
1). Implement the K-means algorithem to cluster the training set in order for organizing the cohort set.
2). Make the verfication score results dividied into four parts. --"Real True Speaker"/"Sensitive True
Speaker"/"Sensitive Imp Speaker"/"Abosulte Imp Speaker".
3). Re-score for the four parts on the cohort set.
4). Score ranking for each part and draw score-rank distrubution diagram.
1. Go on the task1 to explore the inherent law of re-scoring results and try to use the cohort set to
reduce the error rate on the "Sensitive True Speaker"/"Sensitive Imp Speaker".