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src/gmmbin/gmm-make-regtree.cc
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// gmmbin/gmm-make-regtree.cc
// Copyright 2009-2011 Saarland University; Microsoft Corporation
// See ../../COPYING for clarification regarding multiple authors
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// THIS CODE IS PROVIDED *AS IS* BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
// KIND, EITHER EXPRESS OR IMPLIED, INCLUDING WITHOUT LIMITATION ANY IMPLIED
// WARRANTIES OR CONDITIONS OF TITLE, FITNESS FOR A PARTICULAR PURPOSE,
// MERCHANTABLITY OR NON-INFRINGEMENT.
// See the Apache 2 License for the specific language governing permissions and
// limitations under the License.
#include "base/kaldi-common.h"
#include "util/kaldi-io.h"
#include "util/text-utils.h"
#include "gmm/mle-am-diag-gmm.h"
#include "tree/context-dep.h"
#include "hmm/transition-model.h"
#include "transform/regression-tree.h"
int main(int argc, char *argv[]) {
try {
typedef kaldi::int32 int32;
typedef kaldi::BaseFloat BaseFloat;
const char *usage =
"Build regression class tree.
"
"Usage: gmm-make-regtree [options] <model-file> <regtree-out>
"
"E.g.: gmm-make-regtree --silphones=1:2:3 --state-occs=1.occs 1.mdl 1.regtree
"
" [Note: state-occs come from --write-occs option of gmm-est]
";
std::string occs_in_filename;
std::string sil_phones_str;
bool binary_write = true;
int32 max_leaves = 1;
kaldi::ParseOptions po(usage);
po.Register("state-occs", &occs_in_filename, "File containing state occupancies (use --write-occs in gmm-est)");
po.Register("sil-phones", &sil_phones_str, "Colon-separated list of integer ids of silence phones, e.g. 1:2:3; if used, create top-level speech/sil split (only one reg-class for silence).");
po.Register("binary", &binary_write, "Write output in binary mode");
po.Register("max-leaves", &max_leaves, "Maximum number of leaves in regression tree.");
po.Read(argc, argv);
if (po.NumArgs() != 2) {
po.PrintUsage();
exit(1);
}
std::string model_in_filename = po.GetArg(1),
tree_out_filename = po.GetArg(2);
kaldi::AmDiagGmm am_gmm;
kaldi::TransitionModel trans_model;
{
bool binary_read;
kaldi::Input ki(model_in_filename, &binary_read);
trans_model.Read(ki.Stream(), binary_read);
am_gmm.Read(ki.Stream(), binary_read);
}
kaldi::Vector<BaseFloat> state_occs;
if (occs_in_filename != "") {
bool binary_read;
kaldi::Input ki(occs_in_filename, &binary_read);
state_occs.Read(ki.Stream(), binary_read);
} else {
KALDI_LOG << "--state-occs option not provided so using constant occupancies.";
state_occs.Resize(am_gmm.NumPdfs());
state_occs.Set(1.0);
}
std::vector<int32> sil_pdfs;
if (sil_phones_str != "") {
std::vector<int32> sil_phones;
if (!kaldi::SplitStringToIntegers(sil_phones_str, ":", false, &sil_phones))
KALDI_ERR << "invalid sil-phones option " << sil_phones_str;
std::sort(sil_phones.begin(), sil_phones.end());
bool ans = GetPdfsForPhones(trans_model, sil_phones, &sil_pdfs);
if (!ans)
KALDI_WARN << "Pdfs associated with silence phones are not only "
"associated with silence phones: your speech-silence split "
"may not be meaningful.";
}
kaldi::RegressionTree regtree;
regtree.BuildTree(state_occs, sil_pdfs, am_gmm, max_leaves);
// Write out the regression tree
{
kaldi::Output ko(tree_out_filename, binary_write);
regtree.Write(ko.Stream(), binary_write);
}
KALDI_LOG << "Written regression tree to " << tree_out_filename;
} catch(const std::exception &e) {
std::cerr << e.what() << '
';
return -1;
}
}
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