[hts-users:03174] Re: Problem of building regression tree (average voice model)

[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