lattice-best-path.cc File Reference

#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 dependency graph for lattice-best-path.cc:

Go to the source code of this file.

Functions
int	main (int argc, char *argv[])

Function Documentation

main()

int main	(	int	argc,
		char *	argv[]
	)

Definition at line 27 of file lattice-best-path.cc.

References kaldi::CompactLatticeShortestPath(), fst::ConvertLattice(), SequentialTableReader< Holder >::Done(), SequentialTableReader< Holder >::FreeCurrent(), ParseOptions::GetArg(), fst::GetLinearSymbolSequence(), ParseOptions::GetOptArg(), rnnlm::i, KALDI_ERR, KALDI_LOG, KALDI_WARN, SequentialTableReader< Holder >::Key(), fst::LatticeScale(), SequentialTableReader< Holder >::Next(), ParseOptions::NumArgs(), LatticeWeightTpl< BaseFloat >::One(), ParseOptions::PrintUsage(), ParseOptions::Read(), ParseOptions::Register(), fst::ScaleLattice(), fst::Times(), SequentialTableReader< Holder >::Value(), LatticeWeightTpl< FloatType >::Value1(), LatticeWeightTpl< FloatType >::Value2(), words, and TableWriter< Holder >::Write().

                                 {
  try {
    using namespace kaldi;
    typedef kaldi::int32 int32;
    typedef kaldi::int64 int64;
    using fst::SymbolTable;
    using fst::VectorFst;
    using fst::StdArc;

    const char *usage =
        "Generate 1-best path through lattices; output as transcriptions and alignments\n"
        "Note: if you want output as FSTs, use lattice-1best; if you want output\n"
        "with acoustic and LM scores, use lattice-1best | nbest-to-linear\n"
        "Usage: lattice-best-path [options]  <lattice-rspecifier> [ <transcriptions-wspecifier> [ <alignments-wspecifier>] ]\n"
        " e.g.: lattice-best-path --acoustic-scale=0.1 ark:1.lats 'ark,t:|int2sym.pl -f 2- words.txt > text' ark:1.ali\n";

    ParseOptions po(usage);
    BaseFloat acoustic_scale = 1.0;
    BaseFloat lm_scale = 1.0;

    std::string word_syms_filename;
    po.Register("acoustic-scale", &acoustic_scale, "Scaling factor for acoustic likelihoods");
    po.Register("lm-scale", &lm_scale, "Scaling factor for LM probabilities. "
                "Note: the ratio acoustic-scale/lm-scale is all that matters.");
    po.Register("word-symbol-table", &word_syms_filename, "Symbol table for words [for debug output]");

    po.Read(argc, argv);

    if (po.NumArgs() < 1 || po.NumArgs() > 3) {
      po.PrintUsage();
      exit(1);
    }

    std::string lats_rspecifier = po.GetArg(1),
        transcriptions_wspecifier = po.GetOptArg(2),
        alignments_wspecifier = po.GetOptArg(3);

    SequentialCompactLatticeReader clat_reader(lats_rspecifier);

    Int32VectorWriter transcriptions_writer(transcriptions_wspecifier);

    Int32VectorWriter alignments_writer(alignments_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;


    int32 n_done = 0, n_fail = 0;
    int64 n_frame = 0;
    LatticeWeight tot_weight = LatticeWeight::One();

    for (; !clat_reader.Done(); clat_reader.Next()) {
      std::string key = clat_reader.Key();
      CompactLattice clat = clat_reader.Value();
      clat_reader.FreeCurrent();
      fst::ScaleLattice(fst::LatticeScale(lm_scale, acoustic_scale), &clat);
      CompactLattice clat_best_path;
      CompactLatticeShortestPath(clat, &clat_best_path);  // A specialized
      // implementation of shortest-path for CompactLattice.
      Lattice best_path;
      ConvertLattice(clat_best_path, &best_path);
      if (best_path.Start() == fst::kNoStateId) {
        KALDI_WARN << "Best-path failed for key " << key;
        n_fail++;
      } else {
        std::vector<int32> alignment;
        std::vector<int32> words;
        LatticeWeight weight;
        GetLinearSymbolSequence(best_path, &alignment, &words, &weight);
        KALDI_LOG << "For utterance " << key << ", best cost "
                  << weight.Value1() << " + " << weight.Value2() << " = "
                  << (weight.Value1() + weight.Value2())
                  << " over " << alignment.size() << " frames.";
        if (transcriptions_wspecifier != "")
          transcriptions_writer.Write(key, words);
        if (alignments_wspecifier != "")
          alignments_writer.Write(key, alignment);
        if (word_syms != NULL) {
          std::cerr << key << ' ';
          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';
        }
        n_done++;
        n_frame += alignment.size();
        tot_weight = Times(tot_weight, weight);
      }
    }

    BaseFloat tot_weight_float = tot_weight.Value1() + tot_weight.Value2();
    KALDI_LOG << "Overall cost per frame is " << (tot_weight_float/n_frame)
              << " = " << (tot_weight.Value1()/n_frame) << " [graph]"
              << " + " << (tot_weight.Value2()/n_frame) << " [acoustic]"
              << " over " << n_frame << " frames.";
    KALDI_LOG << "Done " << n_done << " lattices, failed for " << n_fail;

    delete word_syms;
    if (n_done != 0) return 0;
    else return 1;
  } catch(const std::exception &e) {
    std::cerr << e.what();
    return -1;
  }
}