sgmm2-rescore-lattice.cc File Reference

#include "base/kaldi-common.h"
#include "util/common-utils.h"
#include "util/stl-utils.h"
#include "sgmm2/am-sgmm2.h"
#include "hmm/transition-model.h"
#include "fstext/fstext-lib.h"
#include "lat/kaldi-lattice.h"
#include "lat/lattice-functions.h"
#include "sgmm2/decodable-am-sgmm2.h"

Include dependency graph for sgmm2-rescore-lattice.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 32 of file sgmm2-rescore-lattice.cc.

References fst::AcousticLatticeScale(), AmSgmm2::ComputePerSpkDerivedVars(), SequentialTableReader< Holder >::Done(), SequentialTableReader< Holder >::FreeCurrent(), ParseOptions::GetArg(), RandomAccessTableReader< Holder >::HasKey(), RandomAccessTableReaderMapped< Holder >::HasKey(), RandomAccessTableReaderMapped< Holder >::IsOpen(), KALDI_ERR, KALDI_LOG, KALDI_WARN, SequentialTableReader< Holder >::Key(), SequentialTableReader< Holder >::Next(), ParseOptions::NumArgs(), MatrixBase< Real >::NumRows(), ParseOptions::PrintUsage(), ParseOptions::Read(), TransitionModel::Read(), AmSgmm2::Read(), ParseOptions::Register(), kaldi::RescoreCompactLattice(), kaldi::RescoreCompactLatticeSpeedup(), fst::ScaleLattice(), Sgmm2PerSpkDerivedVars::SetSpeakerVector(), Input::Stream(), RandomAccessTableReader< Holder >::Value(), SequentialTableReader< Holder >::Value(), RandomAccessTableReaderMapped< Holder >::Value(), 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 =
      "Replace the acoustic scores on a lattice using a new model.\n"
      "Usage: sgmm2-rescore-lattice [options] <model-in> <lattice-rspecifier> "
      "<feature-rspecifier> <lattice-wspecifier>\n"
      " e.g.: sgmm2-rescore-lattice 1.mdl ark:1.lats scp:trn.scp ark:2.lats\n";

    kaldi::BaseFloat old_acoustic_scale = 0.0;
    bool speedup = false;
    BaseFloat log_prune = 5.0;
    std::string gselect_rspecifier, spkvecs_rspecifier, utt2spk_rspecifier;

    kaldi::ParseOptions po(usage);
    po.Register("old-acoustic-scale", &old_acoustic_scale,
                "Add the current acoustic scores with some scale.");
    po.Register("log-prune", &log_prune,
                "Pruning beam used to reduce number of exp() evaluations.");
    po.Register("spk-vecs", &spkvecs_rspecifier, "Speaker vectors (rspecifier)");
    po.Register("utt2spk", &utt2spk_rspecifier,
                "rspecifier for utterance to speaker map");
    po.Register("gselect", &gselect_rspecifier,
                "Precomputed Gaussian indices (rspecifier)");
    po.Register("speedup", &speedup,
                "If true, enable a faster version of the computation that "
                "saves times when there is only one pdf-id on a single frame "
                "by only sometimes (randomly) computing the probabilities, and "
                "then scaling them up to preserve corpus-level diagnostics.");

    
    po.Read(argc, argv);

    if (po.NumArgs() != 4) {
      po.PrintUsage();
      exit(1);
    }
    if (gselect_rspecifier == "")
      KALDI_ERR << "--gselect-rspecifier option is required.";

    std::string model_filename = po.GetArg(1),
        lats_rspecifier = po.GetArg(2),
        feature_rspecifier = po.GetArg(3),
        lats_wspecifier = po.GetArg(4);

    AmSgmm2 am_sgmm;
    TransitionModel trans_model;
    {
      bool binary;
      Input ki(model_filename, &binary);
      trans_model.Read(ki.Stream(), binary);
      am_sgmm.Read(ki.Stream(), binary);
    }

    RandomAccessInt32VectorVectorReader gselect_reader(gselect_rspecifier);
    RandomAccessBaseFloatVectorReaderMapped spkvecs_reader(spkvecs_rspecifier,
                                                           utt2spk_rspecifier);
    RandomAccessBaseFloatMatrixReader feature_reader(feature_rspecifier);
    // Read as compact lattice
    SequentialCompactLatticeReader compact_lattice_reader(lats_rspecifier);
    // Write as compact lattice.
    CompactLatticeWriter compact_lattice_writer(lats_wspecifier);

    int32 num_done = 0, num_err = 0;
    for (; !compact_lattice_reader.Done(); compact_lattice_reader.Next()) {
      std::string utt = compact_lattice_reader.Key();
      if (!feature_reader.HasKey(utt)) {
        KALDI_WARN << "No feature found for utterance " << utt;
        num_err++;
        continue;
      }

      CompactLattice clat = compact_lattice_reader.Value();
      compact_lattice_reader.FreeCurrent();
      if (old_acoustic_scale != 1.0)
        fst::ScaleLattice(fst::AcousticLatticeScale(old_acoustic_scale), &clat);

      const Matrix<BaseFloat> &feats = feature_reader.Value(utt);

      // Get speaker vectors
      Sgmm2PerSpkDerivedVars spk_vars;
      if (spkvecs_reader.IsOpen()) {
        if (spkvecs_reader.HasKey(utt)) {
          spk_vars.SetSpeakerVector(spkvecs_reader.Value(utt));
          am_sgmm.ComputePerSpkDerivedVars(&spk_vars);
        } else {
          KALDI_WARN << "Cannot find speaker vector for " << utt;
          num_err++;
          continue;
        }
      }  // else spk_vars is "empty"

      if (!gselect_reader.HasKey(utt) ||
          gselect_reader.Value(utt).size() != feats.NumRows()) {
        KALDI_WARN << "No Gaussian-selection info available for utterance "
                   << utt << " (or wrong size)";
        num_err++;
        continue;
      }
      const std::vector<std::vector<int32> > &gselect =
          gselect_reader.Value(utt);

      DecodableAmSgmm2 sgmm2_decodable(am_sgmm, trans_model, feats,
                                       gselect, log_prune, &spk_vars);

      if (!speedup) {
        if (kaldi::RescoreCompactLattice(&sgmm2_decodable, &clat)) {
          compact_lattice_writer.Write(utt, clat);
          num_done++;
        } else num_err++;
      } else {
        BaseFloat speedup_factor = 100.0; 
        if (kaldi::RescoreCompactLatticeSpeedup(trans_model, speedup_factor,
                                                &sgmm2_decodable,
                                                &clat)) {
          compact_lattice_writer.Write(utt, clat);
          num_done++;
        } else num_err++;
      }        
    }

    KALDI_LOG << "Done " << num_done << " lattices, errors on "
              << num_err;
    return (num_done != 0 ? 0 : 1);
  } catch(const std::exception &e) {
    std::cerr << e.what();
    return -1;
  }
}