|
|
第48行: |
第48行: |
| | | |
| |- | | |- |
− | | rowspan="4"|2016.09.05 | + | | rowspan="4"|2016.09.12 |
| |Zhiyuan Tang | | |Zhiyuan Tang |
| || | | || |
− | * LSTM cell analysis[http://192.168.0.51:5555/cgi-bin/cvss/cvss_request.pl?account=tangzy&step=view_request&cvssid=557] | + | * memory analysis of gated recurrent units (memory term, memory residual), outline for icassp 2016 |
| || | | || |
− | * analysis of gates, layers, temporal property | + | * paper for icassp 2016 |
| |- | | |- |
| | | |
Date |
People |
Last Week |
This Week
|
2016.09.05
|
Zhiyuan Tang
|
|
- analysis of gates, layers, temporal property
|
Jingyi Lin
|
|
- Continue with the book writing
|
Ying Shi
|
- bi-monthly report
- memory length of lstm and gru
- some work about speaker gender
|
- Continue research on lstm and gru(multilayer)
|
Lantian Li
|
- Deep speaker embedding ( Random sample training RST ) [2].
- Local training [3].
- Joint training on SRE and LRE [4].
|
|
2016.09.12
|
Zhiyuan Tang
|
- memory analysis of gated recurrent units (memory term, memory residual), outline for icassp 2016
|
|
Jingyi Lin
|
|
- Continue with the book writing
|
Ying Shi
|
- bi-monthly report
- memory length of lstm and gru
- some work about speaker gender
|
- Continue research on lstm and gru(multilayer)
|
Lantian Li
|
- Deep speaker embedding ( Random sample training RST ) [5].
- Local training [6].
- Joint training on SRE and LRE [7].
|
|