Zhiyuan Tang 2015-12-14

Last week:

1. launched experiments on 1400h-Chinese plus 100h English with CTC/nnet3/Kaldi, it's much faster than those on train97 with 4 jobs parallel as it's on train88 with 8;

2. got refered ruselts of Kaldi/CTC on 1400h-Chinese[1];

3. turned to SPEAKER.

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