Preparing for VAD Kaldi training and eval

Simplified train_voip_cs.sh
Write down todos
Qsub fixes for ufal
Merge branch 'vad2kaldi' of github.com:UFAL-DSG/alex into vad2kaldi
small fixes
do not export the models we do not use
allow naming lms
preparing for DNN
running basic dnn training
fix order of params for lda_mllt training
cmd.sh default params
remarks for VAD alignment
add new directories to path.sh
Merge branch 'vad2kaldi' of github.com:UFAL-DSG/alex into vad2kaldi
few steps to va2kaldi
Add decoding graph creating for nnet decoding
preparing mlf from ctm
script ctm2mlf finished (todo miliseconds/nanoseconds? in mlf)
changed vad training for debugging
removing unused argument
changed the correct units for mlf