gmm-latgen-map.cc File Reference

#include <string>
#include <vector>
#include "base/kaldi-common.h"
#include "util/common-utils.h"
#include "gmm/am-diag-gmm.h"
#include "gmm/mle-am-diag-gmm.h"
#include "hmm/transition-model.h"
#include "transform/fmllr-diag-gmm.h"
#include "fstext/fstext-lib.h"
#include "decoder/decoder-wrappers.h"
#include "gmm/decodable-am-diag-gmm.h"
#include "base/timer.h"
#include "lat/kaldi-lattice.h"

Include dependency graph for gmm-latgen-map.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 38 of file gmm-latgen-map.cc.

References kaldi::ClassifyRspecifier(), AmDiagGmm::CopyFromAmDiagGmm(), kaldi::DecodeUtteranceLatticeFaster(), LatticeFasterDecoderConfig::determinize_lattice, SequentialTableReader< Holder >::Done(), Timer::Elapsed(), SequentialTableReader< Holder >::FreeCurrent(), ParseOptions::GetArg(), ParseOptions::GetOptArg(), RandomAccessTableReader< Holder >::HasKey(), RandomAccessTableReaderMapped< Holder >::HasKey(), KALDI_ERR, KALDI_LOG, KALDI_WARN, SequentialTableReader< Holder >::Key(), kaldi::kNoRspecifier, SequentialTableReader< Holder >::Next(), ParseOptions::NumArgs(), TableWriter< Holder >::Open(), ParseOptions::PrintUsage(), ParseOptions::Read(), TransitionModel::Read(), fst::ReadFstKaldiGeneric(), LatticeFasterDecoderConfig::Register(), ParseOptions::Register(), Input::Stream(), RandomAccessTableReader< Holder >::Value(), SequentialTableReader< Holder >::Value(), and RandomAccessTableReaderMapped< Holder >::Value().

                                 {
  try {
    using namespace kaldi;
    using std::string;
    typedef kaldi::int32 int32;
    using fst::SymbolTable;
    using fst::Fst;
    using fst::StdArc;

    const char *usage = "Decode features using GMM-based model.  Note: the input\n"
        "<gmms-rspecifier> will typically be piped in from gmm-est-map.\n"
        "Note: <model-in> is only needed for the transition-model, which isn't\n"
        "included in <gmms-rspecifier>.\n"
        "\n"
        "Usage: gmm-latgen-map [options] <model-in> "
        "<gmms-rspecifier> <fsts-rxfilename|fsts-rspecifier> <features-rspecifier> "
        "<lattice-wspecifier> [ <words-wspecifier> [ <alignments-wspecifier> ] ]\n";

    ParseOptions po(usage);
    bool binary = true;
    bool allow_partial = true;
    BaseFloat acoustic_scale = 0.1;

    std::string word_syms_filename, utt2spk_rspecifier;
    LatticeFasterDecoderConfig decoder_opts;
    decoder_opts.Register(&po);
    po.Register("utt2spk", &utt2spk_rspecifier, "rspecifier for utterance to "
                "speaker map");
    po.Register("binary", &binary, "Write output in binary mode");
    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() < 5 || po.NumArgs() > 7) {
      po.PrintUsage();
      exit(1);
    }

    std::string model_in_filename = po.GetArg(1),
        gmms_rspecifier = po.GetArg(2),
        fst_in_filename = po.GetArg(3),
        feature_rspecifier = po.GetArg(4),
        lattice_wspecifier = po.GetArg(5),
        words_wspecifier = po.GetOptArg(6),
        alignment_wspecifier = po.GetOptArg(7);

    TransitionModel trans_model;
    {
      bool binary_read;
      Input is(model_in_filename, &binary_read);
      trans_model.Read(is.Stream(), binary_read);
    }
    RandomAccessMapAmDiagGmmReaderMapped gmms_reader(gmms_rspecifier,
                                                     utt2spk_rspecifier);

    Int32VectorWriter words_writer(words_wspecifier);
    Int32VectorWriter alignment_writer(alignment_wspecifier);


    bool determinize = decoder_opts.determinize_lattice;
    if (!determinize)
      KALDI_WARN << "determinize is set to FASLE ...";
    CompactLatticeWriter compact_lattice_writer;
    LatticeWriter lattice_writer;

    if (lattice_wspecifier != "") {
      if (! (determinize ? compact_lattice_writer.Open(lattice_wspecifier)
             : lattice_writer.Open(lattice_wspecifier)))
        KALDI_ERR << "Could not open table for writing lattices: "
                  << lattice_wspecifier;
    }

    fst::SymbolTable *word_syms = NULL;
    if (word_syms_filename != "") {
      word_syms = fst::SymbolTable::ReadText(word_syms_filename);
      if (!word_syms) {
        KALDI_ERR << "Could not read symbol table from file "
                  << word_syms_filename;
      }
    }

    BaseFloat tot_like = 0.0;
    kaldi::int64 frame_count = 0;
    int num_success = 0, num_fail = 0;
    Timer timer;

    if (ClassifyRspecifier(fst_in_filename, NULL, NULL) == kNoRspecifier) {
      // Input FST is just one FST, not a table of FSTs.
      Fst<StdArc> *decode_fst = fst::ReadFstKaldiGeneric(fst_in_filename);

      SequentialBaseFloatMatrixReader feature_reader(feature_rspecifier);
      for (; !feature_reader.Done(); feature_reader.Next()) {
        string utt = feature_reader.Key();

        if (!gmms_reader.HasKey(utt)) {
          KALDI_WARN << "Utterance " << utt
                     << " has no corresponding MAP model skipping this utterance.";
          num_fail++;
          continue;
        }
        AmDiagGmm am_gmm;
        am_gmm.CopyFromAmDiagGmm(gmms_reader.Value(utt));

        Matrix<BaseFloat> features(feature_reader.Value());
        feature_reader.FreeCurrent();
        if (features.NumRows() == 0) {
          KALDI_WARN << "Zero-length utterance: " << utt;
          num_fail++;
          continue;
        }

        LatticeFasterDecoder decoder(*decode_fst, decoder_opts);
        kaldi::DecodableAmDiagGmmScaled gmm_decodable(am_gmm, trans_model,
                                                      features,
                                                      acoustic_scale);
        double like;
        if (DecodeUtteranceLatticeFaster(
                decoder, gmm_decodable, trans_model, word_syms, utt,
                acoustic_scale, determinize, allow_partial, &alignment_writer,
                &words_writer, &compact_lattice_writer, &lattice_writer,
                &like)) {
          tot_like += like;
          frame_count += features.NumRows();
          num_success++;
        } else num_fail++;
      }  // end looping over all utterances
    } else {
      RandomAccessTableReader<fst::VectorFstHolder> fst_reader(fst_in_filename);
      SequentialBaseFloatMatrixReader feature_reader(feature_rspecifier);
      for (; !feature_reader.Done(); feature_reader.Next()) {
        string utt = feature_reader.Key();

        if (!fst_reader.HasKey(utt)) {
          KALDI_WARN << "Utterance " << utt << " has no corresponding FST"
                     << "skipping this utterance.";
          num_fail++;
          continue;
        }

        if (!gmms_reader.HasKey(utt)) {
          KALDI_WARN << "Utterance " << utt
                     << " has no corresponding MAP model skipping this utterance.";
          num_fail++;
          continue;
        }
        AmDiagGmm am_gmm;
        am_gmm.CopyFromAmDiagGmm(gmms_reader.Value(utt));

        Matrix<BaseFloat> features(feature_reader.Value());
        feature_reader.FreeCurrent();
        if (features.NumRows() == 0) {
          KALDI_WARN << "Zero-length utterance: " << utt;
          num_fail++;
          continue;
        }

        LatticeFasterDecoder decoder(fst_reader.Value(utt), decoder_opts);
        kaldi::DecodableAmDiagGmmScaled gmm_decodable(am_gmm, trans_model,
                                                      features,
                                                      acoustic_scale);
        double like;
        if (DecodeUtteranceLatticeFaster(
                decoder, gmm_decodable, trans_model, word_syms, utt,
                acoustic_scale, determinize, allow_partial, &alignment_writer,
                &words_writer, &compact_lattice_writer, &lattice_writer,
                &like)) {
          tot_like += like;
          frame_count += features.NumRows();
          num_success++;
        } else num_fail++;
      }  // end looping over all utterances
    }
    KALDI_LOG << "Average log-likelihood per frame is "
              << (tot_like / frame_count) << " over " << frame_count << " frames.";

    double elapsed = timer.Elapsed();
    KALDI_LOG << "Time taken [excluding initialization] " << 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;

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