gmm-decode-simple.cc
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// gmmbin/gmm-decode-simple.cc
// Copyright 2009-2011 Microsoft Corporation
// 2013 Johns Hopkins University
// 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/am-diag-gmm.h"
#include "tree/context-dep.h"
#include "hmm/transition-model.h"
#include "fstext/fstext-lib.h"
#include "decoder/simple-decoder.h"
#include "gmm/decodable-am-diag-gmm.h"
#include "fstext/lattice-utils.h"
#include "lat/kaldi-lattice.h"
#include "base/timer.h"
int main(int argc, char *argv[]) {
try {
using namespace kaldi;
typedef kaldi::int32 int32;
using fst::SymbolTable;
using fst::VectorFst;
using fst::Fst;
using fst::StdArc;
using fst::ReadFstKaldiGeneric;
const char *usage =
"Decode features using GMM-based model.\n"
"Viterbi decoding, Only produces linear sequence; any lattice\n"
"produced is linear\n"
"\n"
"Usage: gmm-decode-simple [options] <model-in> <fst-in> "
"<features-rspecifier> <words-wspecifier> [<alignments-wspecifier>] "
"[<lattice-wspecifier>]";
ParseOptions po(usage);
Timer timer;
bool allow_partial = true;
BaseFloat acoustic_scale = 0.1;
std::string word_syms_filename;
BaseFloat beam = 16.0;
po.Register("beam", &beam, "Decoding log-likelihood beam");
po.Register("acoustic-scale", &acoustic_scale,
"Scaling factor for acoustic likelihoods");
po.Register("word-symbol-table", &word_syms_filename,
"Symbol table for words [for debug output]");
po.Register("allow-partial", &allow_partial,
"Produce output even when final state was not reached");
po.Read(argc, argv);
if (po.NumArgs() < 4 || po.NumArgs() > 6) {
po.PrintUsage();
exit(1);
}
std::string model_in_filename = po.GetArg(1),
fst_in_filename = po.GetArg(2),
feature_rspecifier = po.GetArg(3),
words_wspecifier = po.GetArg(4),
alignment_wspecifier = po.GetOptArg(5),
lattice_wspecifier = po.GetOptArg(6);
TransitionModel trans_model;
AmDiagGmm am_gmm;
{
bool binary;
Input ki(model_in_filename, &binary);
trans_model.Read(ki.Stream(), binary);
am_gmm.Read(ki.Stream(), binary);
}
Fst<StdArc> *decode_fst = ReadFstKaldiGeneric(fst_in_filename);
Int32VectorWriter words_writer(words_wspecifier);
Int32VectorWriter alignment_writer(alignment_wspecifier);
CompactLatticeWriter clat_writer(lattice_wspecifier);
fst::SymbolTable *word_syms = NULL;
if (word_syms_filename != "")
if (!(word_syms = fst::SymbolTable::ReadText(word_syms_filename)))
KALDI_ERR << "Could not read symbol table from file "
<< word_syms_filename;
SequentialBaseFloatMatrixReader feature_reader(feature_rspecifier);
BaseFloat tot_like = 0.0;
kaldi::int64 frame_count = 0;
int num_success = 0, num_fail = 0;
SimpleDecoder decoder(*decode_fst, beam);
for (; !feature_reader.Done(); feature_reader.Next()) {
std::string utt = feature_reader.Key();
Matrix<BaseFloat> features (feature_reader.Value());
feature_reader.FreeCurrent();
if (features.NumRows() == 0) {
KALDI_WARN << "Zero-length utterance: " << utt;
num_fail++;
continue;
}
DecodableAmDiagGmmScaled gmm_decodable(am_gmm, trans_model, features,
acoustic_scale);
decoder.Decode(&gmm_decodable);
VectorFst<LatticeArc> decoded; // linear FST.
if ( (allow_partial || decoder.ReachedFinal())
&& decoder.GetBestPath(&decoded) ) {
if (!decoder.ReachedFinal())
KALDI_WARN << "Decoder did not reach end-state, "
<< "outputting partial traceback since --allow-partial=true";
num_success++;
std::vector<int32> alignment;
std::vector<int32> words;
LatticeWeight weight;
frame_count += features.NumRows();
GetLinearSymbolSequence(decoded, &alignment, &words, &weight);
words_writer.Write(utt, words);
if (alignment_wspecifier != "")
alignment_writer.Write(utt, alignment);
if (lattice_wspecifier != "") {
// We'll write the lattice without acoustic scaling.
if (acoustic_scale != 0.0)
fst::ScaleLattice(fst::AcousticLatticeScale(1.0 / acoustic_scale),
&decoded);
fst::VectorFst<CompactLatticeArc> clat;
ConvertLattice(decoded, &clat, true);
clat_writer.Write(utt, clat);
}
if (word_syms != NULL) {
std::cerr << utt << ' ';
for (size_t i = 0; i < words.size(); i++) {
std::string s = word_syms->Find(words[i]);
if (s == "")
KALDI_ERR << "Word-id " << words[i] <<" not in symbol table.";
std::cerr << s << ' ';
}
std::cerr << '\n';
}
BaseFloat like = -ConvertToCost(weight);
tot_like += like;
KALDI_LOG << "Log-like per frame for utterance " << utt << " is "
<< (like / features.NumRows()) << " over "
<< features.NumRows() << " frames.";
} else {
num_fail++;
KALDI_WARN << "Did not successfully decode utterance " << utt
<< ", len = " << features.NumRows();
}
}
double elapsed = timer.Elapsed();
KALDI_LOG << "Time taken "<< elapsed
<< "s: real-time factor assuming 100 frames/sec is "
<< (elapsed*100.0/frame_count);
KALDI_LOG << "Done " << num_success << " utterances, failed for "
<< num_fail;
KALDI_LOG << "Overall log-likelihood per frame is " << (tot_like/frame_count) << " over "
<< frame_count<<" frames.";
delete word_syms;
delete decode_fst;
if (num_success != 0) return 0;
else return 1;
} catch(const std::exception &e) {
std::cerr << e.what();
return -1;
}
}