Lantian Li 15-07-21
1. Prepare for three deep speaker embedding tasks:
1). large-scale deep speaker vector framework: -- hold.
2). knowledege transfer for i-vector: --hold.
3). derive binary i-vectors using Hamming distance learning： results as shown in CVSS 373.
Results shows that the performance of LSH for both i-vector and lda are inferior to the baselines.
Besides,the performance of Variable-blockTraining for lda outperforms the baseline under condition 1 and 3 on SRE08.
While the Variable-blockTraining for i-vector is uneffective.
2. SUSR experiments: find and organize the database and the baseline has been done.
EER of Cosine distance: 39.11%, EER of LDA: 20.80%. And the GMM-UBM from the Chenhao Paper is 29.78%.
Prepare the experiments on speech unit classes.
1. Go on the task 1 and attempt to complete 3).
2. Complete the task2.
3.Help Prof.Thomas write the patent: Recording replay detection.