09-30 Lantian Li
1. On the basis of testing on a small scale, a total-batch experiment was made.
The result for "true speaker" shows that there exists a score gap between the real-speaker and cohort
speaker. Besides, the variance from the real-true-speaker is larger than the sen-true-speaker based on the
cohort set. For imposter-speaker having the similar result, However, it does not meet the original hypothesis
that if the speaker is not the true speaker, it may have the similar scoring between this hypothesis
speaker model and corhort models. But experimental result shows that there still has a gap.
1. Need to analyse the experimental results especiallly for the imposter-speaker. And to find whether the
clustering algorithm is right.
2. Read i-vector paper and I want to study the i-vector based soeaker recognition system.