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src/bin/post-to-smat.cc
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// bin/post-to-smat.cc
// Copyright 2017 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 "hmm/posterior.h"
int main(int argc, char *argv[]) {
using namespace kaldi;
typedef kaldi::int32 int32;
try {
const char *usage =
"This program turns an archive of per-frame posteriors, e.g. from
"
"ali-to-post | post-to-pdf-post,
"
"into an archive of SparseMatrix. This is just a format transformation.
"
"This may not make sense if the indexes in question are one-based (at least,
"
"you'd have to increase the dimension by one.
"
"
"
"See also: post-to-phone-post, ali-to-post, post-to-pdf-post
"
"
"
"Usage: post-to-smat [options] <posteriors-rspecifier> <sparse-matrix-wspecifier>
"
"e.g.: post-to-smat --dim=1038 ark:- ark:-
";
ParseOptions po(usage);
int32 dim = -1;
po.Register("dim", &dim, "The num-cols in each output SparseMatrix. All "
"the integers in the input posteriors are expected to be
"
">= 0 and < dim. This must be specified.");
po.Read(argc, argv);
if (po.NumArgs() != 2) {
po.PrintUsage();
exit(1);
}
if (dim <= 0) {
KALDI_ERR << "The --dim option must be specified.";
}
std::string posteriors_rspecifier = po.GetArg(1),
sparse_matrix_wspecifier = po.GetArg(2);
SequentialPosteriorReader posterior_reader(posteriors_rspecifier);
TableWriter<KaldiObjectHolder<SparseMatrix<BaseFloat> > > sparse_matrix_writer(
sparse_matrix_wspecifier);
int32 num_done = 0;
for (; !posterior_reader.Done(); posterior_reader.Next()) {
const kaldi::Posterior &posterior = posterior_reader.Value();
// The following constructor will throw an error if there is some kind of
// dimension mismatch.
SparseMatrix<BaseFloat> smat(dim, posterior);
sparse_matrix_writer.Write(posterior_reader.Key(), smat);
num_done++;
}
KALDI_LOG << "Done converting " << num_done
<< " posteriors into sparse matrices.";
} catch(const std::exception &e) {
std::cerr << e.what();
return -1;
}
}
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