[hts-users:03196] feature extracting problem

Subject: [hts-users:03196] feature extracting problem

Date: Fri, 9 Mar 2012 05:16:39 +0800

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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