est-mllt.cc
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// bin/est-mllt.cc
// Copyright 2009-2011 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/am-diag-gmm.h"
#include "tree/context-dep.h"
#include "hmm/transition-model.h"
#include "transform/mllt.h"
int main(int argc, char *argv[]) {
try {
using namespace kaldi;
typedef kaldi::int32 int32;
const char *usage =
"Do update for MLLT (also known as STC)\n"
"Usage: est-mllt [options] <mllt-mat-out> <stats-in1> <stats-in2> ... \n"
"e.g.: est-mllt 2.mat 1a.macc 1b.macc ... \n"
"where the stats are obtained from gmm-acc-mllt\n"
"Note: use compose-transforms <mllt-mat-out> <prev-mllt-mat> to combine with previous\n"
" MLLT or LDA transform, if any, and\n"
" gmm-transform-means to apply <mllt-mat-out> to GMM means.\n";
bool binary = true; // write in binary if true.
ParseOptions po(usage);
po.Register("binary", &binary, "Write output in binary mode");
po.Read(argc, argv);
if (po.NumArgs() < 2) {
po.PrintUsage();
exit(1);
}
std::string mllt_out_filename = po.GetArg(1);
MlltAccs mllt_accs;
for (int32 i = 2; i <= po.NumArgs(); i++) {
std::string acc_filename = po.GetArg(i);
bool binary_in, add = true;
Input ki(acc_filename, &binary_in);
mllt_accs.Read(ki.Stream(), binary_in, add);
}
Matrix<BaseFloat> mat(mllt_accs.Dim(), mllt_accs.Dim());
mat.SetUnit();
BaseFloat objf_impr, count;
mllt_accs.Update(&mat, &objf_impr, &count);
KALDI_LOG << "Overall objective function improvement for MLLT is "
<< (objf_impr/count) << " over " << count << " frames, logdet is "
<< mat.LogDet();
Output ko(mllt_out_filename, binary);
mat.Write(ko.Stream(), binary);
return 0;
} catch(const std::exception &e) {
std::cerr << e.what() << '\n';
return -1;
}
}