Lilt：以“Weekly Summary 1. Prepare for three deep speaker embedding tasks: 1). large-scale deep speaker vector framework: -- hold. 2). knowledege transfer for i-vector: --...”为内容创建页面

2015-07-23T01:04:11Z

以“Weekly Summary 1. Prepare for three deep speaker embedding tasks: 1). large-scale deep speaker vector framework: -- hold. 2). knowledege transfer for i-vector: --...”为内容创建页面

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Weekly Summary

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.

Next Week

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.

Lantian Li 15-07-21 - 版本历史

Lilt：以“Weekly Summary 1. Prepare for three deep speaker embedding tasks: 1). large-scale deep speaker vector framework: -- hold. 2). knowledege transfer for i-vector: --...”为内容创建页面