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src/gmmbin/gmm-est-weights-ebw.cc
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// gmmbin/gmm-est-weights-ebw.cc
// Copyright 2009-2011 Petr Motlicek Chao Weng
// 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/am-diag-gmm.h"
#include "tree/context-dep.h"
#include "hmm/transition-model.h"
#include "gmm/ebw-diag-gmm.h"
int main(int argc, char *argv[]) {
try {
using namespace kaldi;
typedef kaldi::int32 int32;
const char *usage =
"Do EBW update on weights for MMI, MPE or MCE discriminative training.
"
"Numerator stats should not be I-smoothed
"
"Usage: gmm-est-weights-ebw [options] <model-in> <stats-num-in> <stats-den-in> <model-out>
"
"e.g.: gmm-est-weights-ebw 1.mdl num.acc den.acc 2.mdl
";
bool binary_write = false;
std::string update_flags_str = "w";
EbwWeightOptions ebw_weight_opts;
ParseOptions po(usage);
po.Register("binary", &binary_write, "Write output in binary mode");
po.Register("update-flags", &update_flags_str, "Which GMM parameters to "
"update; only \"w\" flag is looked at.");
ebw_weight_opts.Register(&po);
po.Read(argc, argv);
if (po.NumArgs() != 4) {
po.PrintUsage();
exit(1);
}
kaldi::GmmFlagsType update_flags =
StringToGmmFlags(update_flags_str);
std::string model_in_filename = po.GetArg(1),
num_stats_filename = po.GetArg(2),
den_stats_filename = po.GetArg(3),
model_out_filename = po.GetArg(4);
AmDiagGmm am_gmm;
TransitionModel trans_model;
{
bool binary_read;
Input ki(model_in_filename, &binary_read);
trans_model.Read(ki.Stream(), binary_read);
am_gmm.Read(ki.Stream(), binary_read);
}
Vector<double> num_transition_accs; // won't be used.
Vector<double> den_transition_accs; // won't be used.
AccumAmDiagGmm num_stats;
AccumAmDiagGmm den_stats;
{
bool binary;
Input ki(num_stats_filename, &binary);
num_transition_accs.Read(ki.Stream(), binary);
num_stats.Read(ki.Stream(), binary, true); // true == add; doesn't matter here.
}
{
bool binary;
Input ki(den_stats_filename, &binary);
num_transition_accs.Read(ki.Stream(), binary);
den_stats.Read(ki.Stream(), binary, true); // true == add; doesn't matter here.
}
if (update_flags & kGmmWeights) { // Update weights.
BaseFloat auxf_impr, count;
UpdateEbwWeightsAmDiagGmm(num_stats, den_stats, ebw_weight_opts, &am_gmm,
&auxf_impr, &count);
KALDI_LOG << "Num count " << num_stats.TotCount() << ", den count "
<< den_stats.TotCount();
KALDI_LOG << "Overall auxf impr/frame from weight update is " << (auxf_impr/count)
<< " over " << count << " frames.";
} else {
KALDI_LOG << "Doing nothing because flags do not specify to update the weights.";
}
{
Output ko(model_out_filename, binary_write);
trans_model.Write(ko.Stream(), binary_write);
am_gmm.Write(ko.Stream(), 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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