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// fgmmbin/fgmm-global-est.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/common-utils.h"
#include "gmm/full-gmm.h"
#include "gmm/mle-full-gmm.h"
int main(int argc, char *argv[]) {
try {
using namespace kaldi;
typedef int32 int32;
MleFullGmmOptions gmm_opts;
const char *usage =
"Estimate a full-covariance GMM from the accumulated stats.
"
"Usage: fgmm-global-est [options] <model-in> <stats-in> <model-out>
";
bool binary_write = true;
int32 mixup = 0;
BaseFloat perturb_factor = 0.01;
std::string update_flags_str = "mvw";
ParseOptions po(usage);
po.Register("binary", &binary_write, "Write output in binary mode");
po.Register("update-flags", &update_flags_str, "Which GMM parameters will be "
"updated: subset of mvw.");
po.Register("mix-up", &mixup, "Increase number of mixture components to "
"this overall target.");
po.Register("perturb-factor", &perturb_factor, "While mixing up, perturb "
"means by standard deviation times this factor.");
gmm_opts.Register(&po);
po.Read(argc, argv);
if (po.NumArgs() != 3) {
po.PrintUsage();
exit(1);
}
std::string model_in_filename = po.GetArg(1),
stats_filename = po.GetArg(2),
model_out_filename = po.GetArg(3);
FullGmm fgmm;
{
bool binary_read;
Input ki(model_in_filename, &binary_read);
fgmm.Read(ki.Stream(), binary_read);
}
AccumFullGmm gmm_accs;
{
bool binary;
Input ki(stats_filename, &binary);
gmm_accs.Read(ki.Stream(), binary, true /* add accs, doesn't matter */);
}
{ // Update GMMs.
BaseFloat objf_impr, count;
MleFullGmmUpdate(gmm_opts, gmm_accs, StringToGmmFlags(update_flags_str),
&fgmm, &objf_impr, &count);
KALDI_LOG << "Overall objective function improvement is "
<< (objf_impr/count) << " per frame over "
<< (count) << " frames.";
}
if (mixup != 0)
fgmm.Split(mixup, perturb_factor);
WriteKaldiObject(fgmm, model_out_filename, binary_write);
KALDI_LOG << "Written model to " << model_out_filename;
} catch(const std::exception &e) {
std::cerr << e.what() << '
';
return -1;
}
}
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