Zhiyuan Tang 2015-12-21
来自cslt Wiki
Last week:
1. more refered ruselts of Kaldi/CTC on 1400h-Chinese and plus 100h English[1];
2. SPEAKER in nnet3, for survey;
3. mpe after CTC.
This week:
1. more research about SPEAKER;
2. supervise the experiments;
3. reading.
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
