Hello
I'm working on discriminative training. However i found some problems in implementation under HTK. My problem is when i try to generate the Word Lattice using HDecode , I always get the same following errors:
HDecode -A -H hmms1/hmm15/models -S train_lattice.scp -t 220.0 220.0 -C config.hdecode -i wlat.den/recout.mlf -w trainbg -o M -z lat -l wlat.den -X lat -p 0.0 -s 5.0 dict.hdecode tiedlist

ERROR [+9999]  HLVNet: no model label for phone (td-f+ao)
FATAL ERROR - Terminating program HDecode

And when I execute the command once more i found other error:
 
ERROR [+9999]  HLVNet: no model label for phone (td-s+eh)
.
.
ERROR [+9999]  HLVNet: no model label for phone (td-n+ay)
and so on in loop


I found the instruction  about the garbage model but i can't solve the problem since each phoneme above belongs to the word pronunciation.
On other hand there are no word who has as pronunciation as the triphones  above. And latter are neither present in HMMdefintion nor tiedlist.
  i can't understand from where HDecode got these triphones.

it seems that the phone "td" are add to each Pronunciation word in the dictionary whereas it should not be added.

dictionary look like:

EIGHT           ey td 
FIVE            f ay v 
FOUR            f ao
FOUR            f ao r 
NINE            n ay n 
OH              ow 
ONE             w ah n 
SENT-END    []  sil
SENT-START  []  sil
SEVEN           s eh v ax n 
SIX             s ih k s 
THREE           th r iy 
TWO             t uw 
ZERO            z ia r ow

The word-level training transcripts with one sentence look:
SENT-START ONE SENT-END
SENT-START TWO SENT-END
SENT-START THREE SENT-END
SENT-START FOUR SENT-END
SENT-START FIVE SENT-END
SENT-START SIX SENT-END
SENT-START SEVEN SENT-END
SENT-START EIGHT SENT-END
SENT-START NINE SENT-END
SENT-START ZERO SENT-END
SENT-START OH SENT-END

SENT-START and SENT-END are used as start/ endnode.
I will be very grateful if any help me solve this problem.

--- (Edited on 7/2/2012 1:17 pm [GMT-0500] by raf23) ---

> it seems that the phone "td" are add to each Pronunciation word in the dictionary whereas it should not be added.

HDecode is a large-vocabulary decoder. It considers all possible combinations. So the triphones with td- are perfectly natural.

If you want to run MMI training with a small vocabulary you can create lattices with HVite, not with HDecode. It is possible in a latest HTK version.

--- (Edited on 7/3/2012 23:27 [GMT+0400] by nsh) ---

I have the same problem! any solution please

--- (Edited on 6/8/2014 6:11 am [GMT-0500] by Visitor) ---

The solution is to make the"fulllist" in making tied state triphone step, contains ALL possible mono, bi and tri gram phone using full_list.prl script 

Moreover, hdecode works with LM in ARPA format, this LM can be generated using SRILM

--- (Edited on 6/8/2014 11:38 pm [GMT-0500] by Visitor) ---