0920 - Lantian Li

Weekly Summary

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.

Next Week

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".