fgmm-global-info.cc
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// fgmmbin/fgmm-global-info.cc
// Copyright 2012-2013 Johns Hopkins University (Author: Daniel Povey)
// 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 "hmm/transition-model.h"
int main(int argc, char *argv[]) {
try {
using namespace kaldi;
typedef kaldi::int32 int32;
const char *usage =
"Write to standard output various properties of full-covariance GMM model\n"
"This is for a single mixture of Gaussians, e.g. as used for a UBM.\n"
"Usage: fgmm-global-info [options] <gmm>\n"
"e.g.:\n"
" fgmm-global-info 1.ubm\n";
ParseOptions po(usage);
po.Read(argc, argv);
if (po.NumArgs() != 1) {
po.PrintUsage();
exit(1);
}
std::string model_rxfilename = po.GetArg(1);
FullGmm gmm;
ReadKaldiObject(model_rxfilename, &gmm);
std::cout << "number of gaussians " << gmm.NumGauss() << '\n';
std::cout << "feature dimension " << gmm.Dim() << '\n';
return 0;
} catch(const std::exception &e) {
std::cerr << e.what() << '\n';
return -1;
}
}