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src/sgmm2bin/sgmm2-rescore-lattice.cc 6.14 KB
8dcb6dfcb   Yannick Estève   first commit
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  // sgmm2bin/sgmm2-rescore-lattice.cc
  
  // Copyright 2009-2012   Saarland University (Author: Arnab Ghoshal)
  //                       Johns Hopkins University (Author: Daniel Povey)
  //                       Cisco Systems (Author: Neha Agrawal)
  
  // 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 "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"
  
  int main(int argc, char *argv[]) {
    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.
  "
        "Usage: sgmm2-rescore-lattice [options] <model-in> <lattice-rspecifier> "
        "<feature-rspecifier> <lattice-wspecifier>
  "
        " e.g.: sgmm2-rescore-lattice 1.mdl ark:1.lats scp:trn.scp ark:2.lats
  ";
  
      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;
    }
  }