> Thank you for your reply.
>
> I've tried HTS2-2, replacing the HTS commands with the ones of HTS-2.2. The
> result was exactly the same as the one of HTS-2.1.1. The score stayed the
> same, and the node split endlessly.
>
> What do you mean by 'Splitting Node' is negative value? You mean the score?
>
> Regards,
> Jay
>
> 2012/2/22 Keiichiro Oura <
uratec@xxxxxxxxxxxxxxx>
>>
>> Hi,
>>
>> Could you try HTS-2.2?
>> I don't know why 'Splitting Node' is negative value.
>>
>> Regards,
>> Keiichiro Oura
>>
>> 2012/2/22 li jay <
lij.acd@xxxxxxxxx>:
>> > Hi,
>> >
>> > I've been trying to build a regression tree for speaker adaptation. I am
>> > using HTS 2.1.1. I've trained a average voice model from 4000 sentences
>> > (about 2.5 hrs) of 20 speakers. It was successful to generate voice
>> > using
>> > the average voice model. I wanted to apply speaker adaptation on this
>> > average voice model, so I tried to build a regression tree with the
>> > command
>> > below:
>> > /usr/local/HTS-2.1.1/bin/HHEd -A -B -C
>> > /home/jay/TTS/try/AST_female_20_speakers_2/configs/trn.cnf -D -T 1 -p -i
>> > -H
>> > /home/ jay /TTS/try/AST_female_20_speakers_2/models/cmp/re_clust
>> > ered.mmf -M /home/
>> > jay /TTS/try/AST_female_20_speakers_2/models/cmp/regTrees
>> > /home/ jay /TTS/try/AST_female_20_speakers_2/edfiles/cmp/reg.hed /home/
>> > jay /TTS/try/AST_female_20_speaker
>> > s_2/data/lists/full.list
>> >
>> > The problem was that splitting of nodes did finish. It seemed to be in a
>> > loop, and the score stayed the same. So the HHEd command cannot
>> > stop. The
>> > log file shows as below:
>> >
>> > HTK Configuration Parameters[10]
>> > Module/Tool Parameter Value
>> > # MINDUR 5
>> > # MAXSTDDEVCOEF 10
>> > # APPLYDURVARFLOOR TRUE
>> > # DURVARFLOORPERCENTILE 1.000000
>> > # SHRINKOCCTHRESH Vector 4 500.0 100.0 100.0 100.0
>> > # VFLOORSCALESTR Vector 4 0.01 0.01 0.01 0.01
>> > # MINLEAFOCC 0
>> > # NATURALWRITEORDER TRUE
>> > # NATURALREADORDER TRUE
>> > # APPLYVFLOOR TRUE
>> >
>> > // construct regression class tree
>> > RC 32 reg
>> > Building regression tree with 32 terminals (4 streams)
>> > Creating regression class tree with ident reg.tree and baseclass
>> > reg.base
>> > Splitting Node 1, score 1.000000e+10
>> > (Stream splitting)
>> > Splitting Node 3, score 1.000000e+10
>> > (Stream splitting)
>> > Splitting Node 5, score 1.000000e+10
>> > (Stream splitting)
>> > Splitting Node 7, score 1.000000e+10
>> > (MSD splitting)
>> > Splitting Node 6, score 1.000000e+10
>> > (MSD splitting)
>> > Splitting Node 10, score 8.998759e+10
>> > (Stream=3, vSize=1)
>> > Splitting Node 13, score 2.999760e+10
>> > (Stream=3, vSize=1)
>> > Splitting Node 4, score 1.000000e+10
>> > (MSD splitting)
>> > Splitting Node 15, score 9.997541e+09
>> > (Stream=3, vSize=1)
>> > Splitting Node 19, score 9.997541e+09
>> > (Stream=3, vSize=1)
>> > Splitting Node 21, score 9.997541e+09
>> > (Stream=3, vSize=1)
>> > ...
>> > ...
>> > ...
>> > Splitting Node -16495, score 9.997541e+09
>> > (Stream=3, vSize=1)
>> > Splitting Node -16493, score 9.997541e+09
>> > (Stream=3, vSize=1)
>> > Splitting Node -16491, score 9.997541e+09
>> > (Stream=3, vSize=1)
>> >
>> > Could you do me a favor to help the problem? My questions are:
>> > 1: What could be the reason or problem result in this endless splitting
>> > node
>> > situation.
>> > 2:Could it be the problem with the average modeling? Is there any option
>> > to
>> > enable average modeling? I trained the average model just as speaker
>> > dependent model with the same scripts, except the training data from
>> > different people.
>> >
>> > Thank you.
>> >
>> > Regards,
>> > Jay
>>
>