#!/bin/bash
  
  . ./cmd.sh
  
  
  
  steps/online/prepare_online_decoding.sh --cmd "$train_cmd" data/train data/lang \
      exp/tri3b exp/tri3b_mmi/final.mdl exp/tri3b_online/ || exit 1;
  
  
  # Below is the basic online decoding.  There is no endpointing being done: the utterances
  # are supplied as .wav files.  And the speaker information is known, so we can use adaptation
  # info from previous utterances of the same speaker.  It's like an application where
  # we have push-to-talk and push-to-finish, and it has been told who the speaker is.
  # The reason it's "online" is that internally, it processes the .wav file sequentially
  # as if you were capturing it from an audio stream, so that when you get to the end of the file
  # it is ready with the decoded output, with very little latency.
  
  steps/online/decode.sh --config conf/decode.config --cmd "$decode_cmd" --nj 20 exp/tri3b/graph \
    data/test exp/tri3b_online/decode
  
  # Below is online decoding with endpointing-- but the endpointing is just at the end of the
  # utterance, not the beginning.  It's like a dialog system over the phone, where when it's your
  # turn to speak it waits till you've finished saying something and then does something.  The
  # endpoint detection is configurable in various ways (not demonstrated here), but it's not separate
  # from the speech recognition, it uses the traceback of the decoder itself to endpoint (whether
  # it's silence, and so on).
  
  steps/online/decode.sh --do-endpointing true \
    --config conf/decode.config --cmd "$decode_cmd" --nj 20 exp/tri3b/graph \
    data/test exp/tri3b_online/decode_endpointing
  
  # Below is like the "basic online decoding" above, except we treat each utterance separately and
  # do not "carry forward" the speaker adaptation state from the previous utterance.
  
  steps/online/decode.sh --per-utt true --config conf/decode.config \
     --cmd "$decode_cmd" --nj 20 exp/tri3b/graph \
    data/test exp/tri3b_online/decode_per_utt
  
  # grep WER exp/tri3b_online/decode/wer_* | utils/best_wer.sh 
  # %WER 2.06 [ 258 / 12533, 29 ins, 46 del, 183 sub ] exp/tri3b_online/decode/wer_10
  
  # grep WER exp/tri3b_online/decode_endpointing/wer_* | utils/best_wer.sh 
  # %WER 2.07 [ 260 / 12533, 33 ins, 46 del, 181 sub ] exp/tri3b_online/decode_endpointing/wer_10
  
  # Treating each one as a separate utterance, we get this:
  # grep WER exp/tri3b_online/decode_per_utt/wer_* | utils/best_wer.sh
  # %WER 2.37 [ 297 / 12533, 41 ins, 56 del, 200 sub ] exp/tri3b_online/decode_per_utt/wer_9
  
  # The baseline WER is:
  # %WER 1.92 [ 241 / 12533, 28 ins, 39 del, 174 sub ] exp/tri3b_mmi/decode/wer_4
  
  
  # You can ignore the folowing; these were when I was debugging a difference between the
  # online and non-online decoding, the commands may be useful as examples.
  # cat exp/tri3b_online/decode/log/decode.*.log  | grep _ | grep -v LOG | grep -v gz | sort > foo
  # cat exp/tri3b_online/decode_endpointing/log/decode.*.log  | grep _ | grep -v LOG | grep -v gz | sort > bar
  # diff foo bar
  #gunzip -c exp/tri3b_online/decode/lat.*.gz | lattice-1best ark:- ark:- | lattice-copy ark:- ark:- | nbest-to-linear ark:- ark,t:- | grep rkm05_st0619_oct87 | show-alignments data/lang/phones.txt exp/tri3b/final.mdl ark:-
  #gunzip -c exp/tri3b_online/decode_endpointing/lat.*.gz | lattice-1best ark:- ark:- | lattice-copy ark:- ark:- | nbest-to-linear ark:- ark,t:- | grep rkm05_st0619_oct87 | show-alignments data/lang/phones.txt exp/tri3b/final.mdl ark:-
  # gunzip -c exp/tri3b_online/decode_endpointing/lat.*.gz | lattice-copy ark:- ark:- | lattice-to-fst ark:-  "scp,p,t:echo rkm05_st0619_oct87 -|" | utils/int2sym.pl -f 3- data/lang/words.txt