“Lantian Li 15-08-11”版本间的差异
（以“Weekly Summary 1. Prepare for three deep speaker embedding tasks: 1). large-scale deep speaker vector framework -- hold. 2). knowledge transfer for i-vector -- in...”为内容创建页面） |
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| 第15行： | 第15行： | ||
We think it is due to the training-data is insufficient. | We think it is due to the training-data is insufficient. | ||
| − | 3). derive binary i-vectors using Hamming distance learning | + | 3). derive binary i-vectors using Hamming distance learning (identification efficiency Exp.) |
obtain the code from Xing Chao, and start to modify the test-code and design the experiments. | obtain the code from Xing Chao, and start to modify the test-code and design the experiments. | ||
2015年8月11日 (二) 08:19的最后版本
Weekly Summary
1. Prepare for three deep speaker embedding tasks:
1). large-scale deep speaker vector framework -- hold.
2). knowledge transfer for i-vector -- in process.
The ivector knowledge transfor(IKT) both on DNN and RNN has been done.
The results show that the performance of DNN-IKT is better than former d-vector system,
but still worse than i-vector baseline. And the RNN-IKT does not work well.
We think it is due to the training-data is insufficient.
3). derive binary i-vectors using Hamming distance learning (identification efficiency Exp.)
obtain the code from Xing Chao, and start to modify the test-code and design the experiments.
Next Week
1. Go on the task 1 and repeat the DNN-IKT of 2) on Fisher and SRE database.
2. Go on the task 1 and attempt to complete 3).
