gmm-decode-faster-regtree-mllr.cc File Reference

#include <string>
#include <vector>
#include "base/kaldi-common.h"
#include "util/common-utils.h"
#include "gmm/am-diag-gmm.h"
#include "hmm/transition-model.h"
#include "transform/regression-tree.h"
#include "transform/regtree-mllr-diag-gmm.h"
#include "fstext/fstext-lib.h"
#include "decoder/faster-decoder.h"
#include "transform/decodable-am-diag-gmm-regtree.h"
#include "base/timer.h"
#include "lat/kaldi-lattice.h"

Include dependency graph for gmm-decode-faster-regtree-mllr.cc:

Go to the source code of this file.

Classes
struct	DecodeInfo

Functions
bool	DecodeUtterance (kaldi::FasterDecoder *decoder, kaldi::DecodableInterface *decodable, DecodeInfo *info, const string &uttid, int32 num_frames, BaseFloat *total_like)
int	main (int argc, char *argv[])

Function Documentation

DecodeUtterance()

bool DecodeUtterance	(	kaldi::FasterDecoder *	decoder,
		kaldi::DecodableInterface *	decodable,
		DecodeInfo *	info,
		const string &	uttid,
		int32	num_frames,
		BaseFloat *	total_like
	)

Definition at line 69 of file gmm-decode-faster-regtree-mllr.cc.

References DecodeInfo::alignment_writer, DecodeInfo::allow_partial, FasterDecoder::Decode(), FasterDecoder::GetBestPath(), fst::GetLinearSymbolSequence(), rnnlm::i, TableWriter< Holder >::IsOpen(), KALDI_ERR, KALDI_LOG, KALDI_WARN, FasterDecoder::ReachedFinal(), DecodeInfo::word_syms, words, DecodeInfo::words_writer, and TableWriter< Holder >::Write().

Referenced by main().

                                            {
  decoder->Decode(decodable);
  KALDI_LOG << "Length of file is " << num_frames;;

  VectorFst<LatticeArc> decoded;  // linear FST.
  if ( (info->allow_partial || decoder->ReachedFinal())
       && decoder->GetBestPath(&decoded) ) {
    if (!decoder->ReachedFinal())
      KALDI_WARN << "Decoder did not reach end-state, outputting partial "
          "traceback.";
    
    vector<kaldi::int32> alignment, words;
    LatticeWeight weight;
    GetLinearSymbolSequence(decoded, &alignment, &words, &weight);

    info->words_writer.Write(uttid, words);
    if (info->alignment_writer.IsOpen())
      info->alignment_writer.Write(uttid, alignment);
    if (info->word_syms != NULL) {
      std::ostringstream ss;
      ss << uttid << ' ';
      for (size_t i = 0; i < words.size(); i++) {
        string s = info->word_syms->Find(words[i]);
        if (s == "")
          KALDI_ERR << "Word-id " << words[i] << " not in symbol table.";
        ss << s << ' ';
      }
      ss << '\n';
      KALDI_LOG << ss.str();
    }

    BaseFloat like = -weight.Value1() -weight.Value2();
    KALDI_LOG << "Log-like per frame = " << (like/num_frames);
    (*total_like) += like;
    return true;
  } else {
    KALDI_WARN << "Did not successfully decode utterance, length = "
               << num_frames;
    return false;
  }
}

main()

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

Definition at line 116 of file gmm-decode-faster-regtree-mllr.cc.

References DecodeInfo::acoustic_scale, DecodeInfo::alignment_writer, DecodeInfo::allow_partial, DecodeInfo::decoder, DecodeUtterance(), SequentialTableReader< Holder >::Done(), Timer::Elapsed(), SequentialTableReader< Holder >::FreeCurrent(), ParseOptions::GetArg(), ParseOptions::GetOptArg(), RandomAccessTableReaderMapped< Holder >::HasKey(), KALDI_ERR, KALDI_LOG, KALDI_WARN, SequentialTableReader< Holder >::Key(), SequentialTableReader< Holder >::Next(), ParseOptions::NumArgs(), DecodableAmDiagGmmUnmapped::NumFramesReady(), DecodableAmDiagGmmRegtreeMllr::NumFramesReady(), ParseOptions::PrintUsage(), RegressionTree::Read(), AmDiagGmm::Read(), ParseOptions::Read(), TransitionModel::Read(), fst::ReadFstKaldi(), FasterDecoderOptions::Register(), ParseOptions::Register(), Input::Stream(), DecodeInfo::trans_model, SequentialTableReader< Holder >::Value(), RandomAccessTableReaderMapped< Holder >::Value(), DecodeInfo::word_syms, and DecodeInfo::words_writer.

                                 {
  try {
    using namespace kaldi;
    typedef kaldi::int32 int32;

    const char *usage = "Decode features using GMM-based model.\n"
              "Usage: gmm-decode-faster-regtree-mllr [options] model-in fst-in "
              "regtree-in features-rspecifier transforms-rspecifier "
              "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;
    FasterDecoderOptions decoder_opts;
    decoder_opts.Register(&po, true);  // true == include obscure settings.
    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() < 6 || po.NumArgs() > 7) {
      po.PrintUsage();
      exit(1);
    }

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

    TransitionModel trans_model;
    AmDiagGmm am_gmm;
    {
      bool binary_read;
      Input ki(model_in_filename, &binary_read);
      trans_model.Read(ki.Stream(), binary_read);
      am_gmm.Read(ki.Stream(), binary_read);
    }

    VectorFst<StdArc> *decode_fst = fst::ReadFstKaldi(fst_in_filename);

    RegressionTree regtree;
    {
      bool binary_read;
      Input in(regtree_filename, &binary_read);
      regtree.Read(in.Stream(), binary_read, am_gmm);
    }

    RandomAccessRegtreeMllrDiagGmmReaderMapped mllr_reader(xforms_rspecifier,
                                                           utt2spk_rspecifier);

    Int32VectorWriter words_writer(words_wspecifier);

    Int32VectorWriter alignment_writer(alignment_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;
    FasterDecoder decoder(*decode_fst, decoder_opts);

    Timer timer;

    DecodeInfo decode_info(am_gmm, trans_model, &decoder, acoustic_scale,
                           allow_partial, words_writer, alignment_writer,
                           word_syms);

    SequentialBaseFloatMatrixReader feature_reader(feature_rspecifier);
    for (; !feature_reader.Done(); feature_reader.Next()) {
      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;
      }

      if (!mllr_reader.HasKey(utt)) {  // Decode without MLLR if none found
        KALDI_WARN << "No MLLR transform for key " << utt <<
            ", decoding without MLLR.";
        kaldi::DecodableAmDiagGmmScaled gmm_decodable(am_gmm, trans_model,
                                                      features,
                                                      acoustic_scale);
        if (DecodeUtterance(&decoder, &gmm_decodable, &decode_info,
                            utt, features.NumRows(), &tot_like)) {
          frame_count += gmm_decodable.NumFramesReady();
          num_success++;
        } else {
          num_fail++;
        }
        continue;
      }

      // If found, load the transforms for the current utterance.
      const RegtreeMllrDiagGmm &mllr = mllr_reader.Value(utt);
      kaldi::DecodableAmDiagGmmRegtreeMllr gmm_decodable(am_gmm, trans_model,
                                                         features, mllr,
                                                         regtree,
                                                         acoustic_scale);
      if (DecodeUtterance(&decoder, &gmm_decodable, &decode_info,
                          utt, features.NumRows(), &tot_like)) {
        frame_count += gmm_decodable.NumFramesReady();
        num_success++;
      } else {
        num_fail++;
      }
    }  // end looping over all utterances

    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;
    KALDI_LOG << "Overall log-likelihood per frame is "
              << (tot_like / frame_count) << " over " << frame_count
              << " frames.";
    
    delete decode_fst;
    if (num_success != 0)
      return 0;
    else
      return 1;
  }
  catch(const std::exception &e) {
    std::cerr << e.what();
    return -1;
  }
}