> Hi,
>
> The following is part of the log file when I tried to build the regression
> tree:
>
> Splitting Node 32763, score 9.997541e+09
> (Stream=3, vSize=1)
> Splitting Node 32765, score 9.997541e+09
> (Stream=3, vSize=1)
> Splitting Node 32767, score 9.997541e+09
> (Stream=3, vSize=1)
> Splitting Node -32767, score 9.997541e+09
> (Stream=3, vSize=1)
> Splitting Node -32765, score 9.997541e+09
> (Stream=3, vSize=1)
> Splitting Node -32763, score 9.997541e+09
>
> The reason why the index went to negative value seemed to be an
> overflow occurred.
> Could you tell me in which file I can check the distribution of stream[3]?
> Thank you for you help.
>
> Regards,
> Jay
>
> 2012/2/23 Keiichiro Oura <
uratec@xxxxxxxxxxxxxxx>
>>
>> Hi,
>>
>> This value is node index in "reg.tree".
>>
>> printf("Splitting Node %d, score %e\n", r->nodeIndex, score);
>>
>> Index is always positive value.
>> I don't know why split is in a loop...
>> Could you check the distribution of stream[3]?
>>
>> Regards,
>> Keiichiro Oura
>>
>>
>> 2012/2/23 li jay <
lij.acd@xxxxxxxxx>:
>> > 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
>> >>
>> >
>>
>