lattice-to-mpe-post.cc
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// latbin/lattice-to-mpe-post.cc
// Copyright 2009-2012 Chao Weng
// 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 "fstext/fstext-lib.h"
#include "lat/kaldi-lattice.h"
#include "lat/lattice-functions.h"
#include "gmm/am-diag-gmm.h"
#include "hmm/transition-model.h"
int main(int argc, char *argv[]) {
try {
typedef kaldi::int32 int32;
using fst::SymbolTable;
using fst::VectorFst;
using fst::StdArc;
using namespace kaldi;
const char *usage =
"Do forward-backward and collect frame level MPE posteriors over\n"
"lattices, which can be fed into gmm-acc-stats2 to do MPE traning.\n"
"Caution: this is not really MPE, this is MPFE (minimum phone frame\n"
"error). The posteriors may be positive or negative.\n"
"Usage: lattice-to-mpe-post [options] <model> <num-posteriors-rspecifier>\n"
" <lats-rspecifier> <posteriors-wspecifier> \n"
"e.g.: lattice-to-mpe-post --acoustic-scale=0.1 1.mdl ark:num.post\n"
" ark:1.lats ark:1.post\n";
kaldi::BaseFloat acoustic_scale = 1.0, lm_scale = 1.0;
bool one_silence_class = false;
std::string silence_phones_str;
kaldi::ParseOptions po(usage);
po.Register("acoustic-scale", &acoustic_scale,
"Scaling factor for acoustic likelihoods");
po.Register("lm-scale", &lm_scale,
"Scaling factor for \"graph costs\" (including LM costs)");
po.Register("one-silence-class", &one_silence_class, "If true, newer "
"behavior which will tend to reduce insertions.");
po.Register("silence-phones", &silence_phones_str,
"Colon-separated list of integer id's of silence phones, e.g. 46:47");
po.Read(argc, argv);
if (po.NumArgs() != 4) {
po.PrintUsage();
exit(1);
}
std::vector<int32> silence_phones;
if (!kaldi::SplitStringToIntegers(silence_phones_str, ":", false, &silence_phones))
KALDI_ERR << "Invalid silence-phones string " << silence_phones_str;
kaldi::SortAndUniq(&silence_phones);
if (silence_phones.empty())
KALDI_WARN << "No silence phones specified, make sure this is what you intended.";
if (acoustic_scale == 0.0)
KALDI_ERR << "Do not use a zero acoustic scale (cannot be inverted)";
std::string model_filename = po.GetArg(1),
alignments_rspecifier = po.GetArg(2),
lats_rspecifier = po.GetArg(3),
posteriors_wspecifier = po.GetArg(4);
SequentialLatticeReader lattice_reader(lats_rspecifier);
PosteriorWriter posterior_writer(posteriors_wspecifier);
if (alignments_rspecifier.find("ali-to-post") != std::string::npos) {
KALDI_WARN << "Warning, this program has been changed to read alignments "
<< "not posteriors. Remove ali-to-post from your scripts.";
}
RandomAccessInt32VectorReader alignments_reader(alignments_rspecifier);
TransitionModel trans_model;
{
bool binary;
Input ki(model_filename, &binary);
trans_model.Read(ki.Stream(), binary);
}
int32 num_done = 0, num_err = 0;
double total_lat_frame_acc = 0.0, lat_frame_acc;
double total_time = 0, lat_time;
for (; !lattice_reader.Done(); lattice_reader.Next()) {
std::string key = lattice_reader.Key();
kaldi::Lattice lat = lattice_reader.Value();
lattice_reader.FreeCurrent();
if (acoustic_scale != 1.0 || lm_scale != 1.0)
fst::ScaleLattice(fst::LatticeScale(lm_scale, acoustic_scale), &lat);
kaldi::uint64 props = lat.Properties(fst::kFstProperties, false);
if (!(props & fst::kTopSorted)) {
if (fst::TopSort(&lat) == false)
KALDI_ERR << "Cycles detected in lattice.";
}
if (!alignments_reader.HasKey(key)) {
KALDI_WARN << "No alignment for utterance " << key;
num_err++;
} else {
const std::vector<int32> &alignment = alignments_reader.Value(key);
Posterior post;
lat_frame_acc = LatticeForwardBackwardMpeVariants(
trans_model, silence_phones, lat, alignment,
"mpfe", one_silence_class, &post);
total_lat_frame_acc += lat_frame_acc;
lat_time = post.size();
total_time += lat_time;
KALDI_VLOG(2) << "Processed lattice for utterance: " << key << "; found "
<< lat.NumStates() << " states and " << fst::NumArcs(lat)
<< " arcs. Average frame accuracies = " << (lat_frame_acc/lat_time)
<< " over " << lat_time << " frames.";
posterior_writer.Write(key, post);
num_done++;
}
}
KALDI_LOG << "Overall average frame-accuracy is "
<< (total_lat_frame_acc/total_time) << " over " << total_time
<< " frames.";
KALDI_LOG << "Done " << num_done << " lattices.";
return (num_done != 0 ? 0 : 1);
} catch(const std::exception &e) {
std::cerr << e.what();
return -1;
}
}