Zhiyuan Tang 2015-12-07
来自cslt Wiki
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