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src/bin/post-to-tacc.cc
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// bin/post-to-tacc.cc
// Copyright 2009-2011 Chao Weng Microsoft Corporation
// 2015 Minhua Wu
// 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/transition-model.h"
#include "hmm/posterior.h"
int main(int argc, char *argv[]) {
try {
using namespace kaldi;
typedef kaldi::int32 int32;
const char *usage =
"From posteriors, compute transition-accumulators
"
"The output is a vector of counts/soft-counts, indexed by transition-id)
"
"Note: the model is only read in order to get the size of the vector
"
"
"
"Usage: post-to-tacc [options] <model> <post-rspecifier> <accs>
"
" e.g.: post-to-tacc --binary=false 1.mdl \"ark:ali-to-post 1.ali|\" 1.tacc
"
"See also: get-post-on-ali
";
bool binary = true;
bool per_pdf = false;
ParseOptions po(usage);
po.Register("binary", &binary, "Write output in binary mode.");
po.Register("per-pdf", &per_pdf, "if ture, accumulate counts per pdf-id"
" rather than transition-id. (default: false)");
po.Read(argc, argv);
if (po.NumArgs() != 3) {
po.PrintUsage();
exit(1);
}
std::string model_rxfilename = po.GetArg(1),
post_rspecifier = po.GetArg(2),
accs_wxfilename = po.GetArg(3);
kaldi::SequentialPosteriorReader posterior_reader(post_rspecifier);
int32 num_transition_ids;
bool binary_in;
Input ki(model_rxfilename, &binary_in);
TransitionModel trans_model;
trans_model.Read(ki.Stream(), binary_in);
num_transition_ids = trans_model.NumTransitionIds();
Vector<double> transition_accs(num_transition_ids+1); // +1 because they're
// 1-based; position zero is empty. We'll write as float.
int32 num_done = 0;
for (; !posterior_reader.Done(); posterior_reader.Next()) {
const kaldi::Posterior &posterior = posterior_reader.Value();
int32 num_frames = static_cast<int32>(posterior.size());
for (int32 i = 0; i < num_frames; i++) {
for (int32 j = 0; j < static_cast<int32>(posterior[i].size()); j++) {
int32 tid = posterior[i][j].first;
if (tid <= 0 || tid > num_transition_ids)
KALDI_ERR << "Invalid transition-id " << tid
<< " encountered for utterance "
<< posterior_reader.Key();
transition_accs(tid) += posterior[i][j].second;
}
}
num_done++;
}
if (per_pdf) {
KALDI_LOG << "accumulate counts per pdf-id";
int32 num_pdf_ids = trans_model.NumPdfs();
Vector<double> pdf_accs(num_pdf_ids);
for (int32 i = 1; i < num_transition_ids; i++) {
int32 pid = trans_model.TransitionIdToPdf(i);
pdf_accs(pid) += transition_accs(i);
}
Vector<BaseFloat> pdf_accs_float(pdf_accs);
Output ko(accs_wxfilename, binary);
pdf_accs_float.Write(ko.Stream(), binary);
} else {
Vector<BaseFloat> transition_accs_float(transition_accs);
Output ko(accs_wxfilename, binary);
transition_accs_float.Write(ko.Stream(), binary);
}
KALDI_LOG << "Done computing transition stats over "
<< num_done << " utterances; wrote stats to "
<< accs_wxfilename;
return (num_done != 0 ? 0 : 1);
} catch(const std::exception &e) {
std::cerr << e.what();
return -1;
}
}
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