[hts-users:04355] parallel processing for estimating transforms
- Subject: [hts-users:04355] parallel processing for estimating transforms
- From: Joao Cabral <jpaulosrc@xxxxxxxxx>
- Date: Tue, 22 Dec 2015 08:59:09 +0000
- Delivered-to: hts-users@xxxxxxxxxxxxxxx
- Dkim-signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20120113; h=mime-version:date:message-id:subject:from:to:content-type; bh=db6xBhT5JciSNJ67t097vY1ZwSs8rZ2gCX4TGjr+A1c=; b=JHTZGyH+5CEzkM6Rt7QpId9wkGEjknqBKT7Xe1igPhZtMu0r0mYyQh+1g1u7NeEQtd AT1i8F9ZS4Z5aOfOiDWA3QfYQOVXC5/vSXnlDx/GvcGOe/r/Qb9e5tfaQmtXXR/LRgUv 1FpSA0AV8B4qCJeYJSCwKS+Kr+CWFEXp6EQzL6tYjPYqYqUhlYs3hbUIQEuRRFWxktxl rYO8ufq+XSh86Sy4G+GUCFRJ56pEv2deuEBQBXm1O4NHsJCpTPNAFDrhQYEmTn+ixgKZ mMmNs2pP5P1f/EdV8BErBnv18SrxdemftA8hjJbYtLQqQf/eByLVY+nxlO0nHakpjjtw AQlw==
Hi,
I've modified the training script of hts-2.3 to use HERest with parallel processing for re-estimation of model parameters.
However, I'm not sure if it's possible to use parallel processing for estimating the transforms for speaker adaptation.
For example, one step of the "adaptation transform reestimation" in the script of the adaptation demo is given below.
I've tried to split the training data and write the output to different
transform files respectively. But I don't know how to combine those
files using HTK tools.
I'd be very grateful for any helpful comments or solution.
Thanks
HERest -A -B -C configs/qst001/ver1/trn.cnf -D -T 1 -S
data/scp/train.scp -I data/labels/full.mlf -m 1 -u ada -w 5000 -t 1500
100 5000 -h */*%%%_* -H models/qst001/ver1/cmp/re_clustered_all.mmf -N
models/qst001/ver1/dur/re_clustered_all.mmf -C
configs/qst001/ver1/adp.cnf -K models/qst001/ver1/cmp/xforms
SI+dec_feat1 -H models/qst001/ver1/cmp/regTrees/dec.base -H
models/qst001/ver1/cmp/regTrees/dec.tree -Z
models/qst001/ver1/dur/xforms SI+dec_feat1 -N
models/qst001/ver1/dur/regTrees/dec.base -N
models/qst001/ver1/dur/regTrees/dec.tree models/qst001/ver1/cmp/tiedlist
models/qst001/ver1/dur/tiedlist
- Follow-Ups
-
- [hts-users:04356] Re: parallel processing for estimating transforms, Heiga ZEN (Byung Ha CHUN)