Difference between revisions of "09-30 Lantian Li"

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Weekly Summary
  
 
1. On the basis of testing on a small scale, a total-batch experiment was made.
 
1. On the basis of testing on a small scale, a total-batch experiment was made.
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clustering algorithm is right.
 
clustering algorithm is right.
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2. Read i-vector paper and I want to study the i-vector based soeaker recognition system.

Latest revision as of 02:37, 29 September 2014

Weekly Summary

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.

Next Week

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.