“Lantian Li 2016-04-18”版本间的差异
来自cslt Wiki
| （相同用户的2个中间修订版本未显示） | |||
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:* Joint-training. [http://192.168.0.51:5555/cgi-bin/cvss/cvss_request.pl?account=lilt&step=view_request&cvssid=516 here]. | :* Joint-training. [http://192.168.0.51:5555/cgi-bin/cvss/cvss_request.pl?account=lilt&step=view_request&cvssid=516 here]. | ||
| − | + | # Finish the TDNN-dvector system, train two nnetworks (one is based on WSJ_Train, the other is based on Fisher-1000), test on both WSJ_test and SRE08. | |
| − | + | # All the i-vector baseline experiments have been done! (Fisher-1000, Fisher-2000, Fisher-4000 and WSJ). | |
| + | |||
:* Replay detection. Complete the alignment between normal / replayed utterances. | :* Replay detection. Complete the alignment between normal / replayed utterances. | ||
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* This Week | * This Week | ||
| − | :* Joint-training (speaker recognition) | + | :* Joint-training (speaker recognition) -> Finsher the LSTM-dvector (based on nnet3-TZY). |
| + | |||
| + | :* Deep speaker embedding -> start! cooperate with LTY. | ||
2016年4月18日 (一) 04:59的最后版本
- Weekly Report
- Joint-training. here.
- Finish the TDNN-dvector system, train two nnetworks (one is based on WSJ_Train, the other is based on Fisher-1000), test on both WSJ_test and SRE08.
- All the i-vector baseline experiments have been done! (Fisher-1000, Fisher-2000, Fisher-4000 and WSJ).
- Replay detection. Complete the alignment between normal / replayed utterances.
- Deep speaker embedding. Hold
- This Week
- Joint-training (speaker recognition) -> Finsher the LSTM-dvector (based on nnet3-TZY).
- Deep speaker embedding -> start! cooperate with LTY.
