feat-to-post.cc
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// nnetbin/feat-to-post.cc
// Copyright 2014 Brno University of Technology (Author: Karel Vesely)
// 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"
/** @brief Converts features into posterior format, which is the generic
* format of NN training targets in 'nnet1'. */
int main(int argc, char *argv[]) {
using namespace kaldi;
typedef kaldi::int32 int32;
try {
const char *usage =
"Convert features into posterior format, which is the generic format \n"
"of NN training targets in Karel's nnet1 tools.\n"
"(speed is not an issue for reasonably low NN-output dimensions)\n"
"Usage: feat-to-post [options] feat-rspecifier posteriors-wspecifier\n"
"e.g.:\n"
" feat-to-post scp:feats.scp ark:feats.post\n";
ParseOptions po(usage);
po.Read(argc, argv);
if (po.NumArgs() != 2) {
po.PrintUsage();
exit(1);
}
std::string feats_rspecifier = po.GetArg(1);
std::string posteriors_wspecifier = po.GetArg(2);
int32 num_done = 0;
SequentialBaseFloatMatrixReader feats_reader(feats_rspecifier);
PosteriorWriter posterior_writer(posteriors_wspecifier);
for (; !feats_reader.Done(); feats_reader.Next()) {
num_done++;
const Matrix<BaseFloat> &mat = feats_reader.Value();
int32 num_frames = mat.NumRows(),
num_dims = mat.NumCols();
// Posterior is vector<vector<pair<int32, BaseFloat> > >
Posterior post(num_frames);
// Fill posterior with matrix values,
for (int32 f = 0; f < num_frames; f++) {
for (int32 d = 0; d < num_dims; d++) {
post[f].push_back(std::make_pair(d, mat(f, d)));
}
KALDI_ASSERT(post[f].size() == num_dims);
}
// Store
posterior_writer.Write(feats_reader.Key(), post);
}
KALDI_LOG << "Converted " << num_done << " alignments.";
return (num_done != 0 ? 0 : 1);
} catch(const std::exception &e) {
std::cerr << e.what();
return -1;
}
}