Zhiyuan Tang 2015-12-07

来自cslt Wiki
跳转至: 导航搜索

Last week:

1. launched experiments on 1400h-Chinese with CTC/nnet3/Kaldi;

2. verified the code for conditioning learning of dnn using speech rate as extra input(s), results in [1];


This week:

1. more research about ctc/nnet3;

2. find the reason why language vector doesn't help;

3. something about Memory net.


TASKS

End-to-End
  • monophone ASR --Zhiyuan
  • MPE
  • CTC/nnet3/Kaldi
conditioning learning
  • language vector into multiple layers --Zhiyuan
  • a Chinese paper
  • speech rate into multiple layers --Zhiyuan
  • verify the code for extra input(s) into DNN