[hts-users:03198] Re: feature extracting problem

[Keiichiro Oura <uratec@xxxxxxxxxxxxxxx>]

Hi,

Which command is aborted?
Please, try '-i 1 -j 1' options if ``mgcep'' is aborted.

Regards,
Keiichiro Oura


2012/3/9 li jay <lij.acd@xxxxxxxxx>:
> Hi,
>
> I'm using HTS-2.1.1 and SPTK-3.3. I've trained average speaker models to
> adapt to a speaker's voice. However there were strong noise in the adapted
> voice, though there were very little noice in the average voice. I thought
> it was resulted from training data containing noise. I denoised wav files in
> the training data. But I encountered the problem I've never seen before the
> denoising. When I was extracting LSP features using the folloing command,
> there was a error said:
>
> /usr/local/SPTK/bin/mgcep -a 0.0 -c 1 -m 39 -l 512 -o 4 |
> /usr/local/SPTK/bin/lpc2lsp -m 39 -s 16 -l -n 512 -p 8 -d 1e-6 >
> mgc/spkr004_sen0032.mgc
> theq() : determinant of the normal matrix is too small!
>
> I searched on the web, and I found make the mimimum value of the determinant
> of the normal matrix lower could be helpful. So I used the command below:
>
> /usr/local/SPTK/bin/mgcep -f 0.00000000001 -a 0.0 -c 1 -m 39 -l 512 -o 4 |
> /usr/local/SPTK/bin/lpc2lsp -m 39 -s 16 -l -n 512 -p 8 -d 1e-6 >
> mgc/spkr004_sen0032.mgc
> theq() : determinant of the normal matrix is too small!
>
> But the error still appeared.
>
> There was a thread in the archive said "SPTK-3.3 support 32-bit machine
> only." However I can extract features well previously and I'm using 64-bit
> machine system. After denoising I listened to the denoised noise, and found
> the noise was removed effectively. So I think there is no problem on
> denoising. Could you give me some advice or opinion on this problem?
>
> Regards,
> Jay