“140707 -Xuewei Zhang”版本间的差异
（以内容“Last week 1.train mpe_adaptation_dae_cmvn-g_splice 2.study DAE based on MATLAB This week 1.realize dereverberation based on Lasso and filter 2.read papers to find an...”创建新页面） |
|||
| （相同用户的一个中间修订版本未显示） | |||
| 第1行： | 第1行： | ||
| − | Last week | + | Last week |
| − | 1.train mpe_adaptation_dae_cmvn- | + | 1.in order to find the reason that the DAE does not work well,realign recording(done) |
| − | 2.study DAE based on MATLAB | + | 1.train mpe_adaptation_dae_cmvn-g_splice（done） |
| + | 2.study DAE based on MATLAB,but I have a problem how to input batches of matrix to train a nnet.When I input one matrix,matlab warned : matrix is too large.When "for cyclic sentence" runs the first batch of matrix,the net is trained once,however,when "for cyclic sentence" runs the second batch of matrix,the net is trained again. | ||
| + | |||
This week | This week | ||
| − | 1.realize dereverberation based on Lasso and filter | + | 1.solve the problem in the last week,but the mothod of finding transformation does not work well so that we should search another method. |
| + | 1.realize dereverberation based on Lasso and filter(SINGNAL CHANNEL REVERBERANTION SUPPRESSION BASED ON SPARSE LINEAR PREDICTION) | ||
2.read papers to find another effective approach to realize dereverberation | 2.read papers to find another effective approach to realize dereverberation | ||
2014年7月8日 (二) 07:23的最后版本
Last week 1.in order to find the reason that the DAE does not work well,realign recording(done) 1.train mpe_adaptation_dae_cmvn-g_splice（done） 2.study DAE based on MATLAB,but I have a problem how to input batches of matrix to train a nnet.When I input one matrix,matlab warned : matrix is too large.When "for cyclic sentence" runs the first batch of matrix,the net is trained once,however,when "for cyclic sentence" runs the second batch of matrix,the net is trained again.
This week 1.solve the problem in the last week,but the mothod of finding transformation does not work well so that we should search another method. 1.realize dereverberation based on Lasso and filter(SINGNAL CHANNEL REVERBERANTION SUPPRESSION BASED ON SPARSE LINEAR PREDICTION) 2.read papers to find another effective approach to realize dereverberation
