acc-tree-stats.cc

Go to the documentation of this file.

// bin/acc-tree-stats.cc

// Copyright 2009-2011  Microsoft Corporation, GoVivace Inc.
//                2013  Johns Hopkins University (author: Daniel Povey)

// 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 "tree/context-dep.h"
#include "tree/build-tree-utils.h"
#include "hmm/transition-model.h"
#include "hmm/tree-accu.h"

int main(int argc, char *argv[]) {
  using namespace kaldi;
  typedef kaldi::int32 int32;
  try {
    const char *usage =
        "Accumulate statistics for phonetic-context tree building.\n"
        "Usage:  acc-tree-stats [options] <model-in> <features-rspecifier> <alignments-rspecifier> <tree-accs-out>\n"
        "e.g.: \n"
        " acc-tree-stats 1.mdl scp:train.scp ark:1.ali 1.tacc\n";

    bool binary = true;
    AccumulateTreeStatsOptions opts;
    ParseOptions po(usage);
    po.Register("binary", &binary, "Write output in binary mode");
    opts.Register(&po);

    po.Read(argc, argv);

    if (po.NumArgs() != 4) {
      po.PrintUsage();
      exit(1);
    }

    std::string model_filename = po.GetArg(1),
        feature_rspecifier = po.GetArg(2),
        alignment_rspecifier = po.GetArg(3),
        accs_out_wxfilename = po.GetOptArg(4);


    AccumulateTreeStatsInfo acc_tree_stats_info(opts);

    TransitionModel trans_model;
    {
      bool binary;
      Input ki(model_filename, &binary);
      trans_model.Read(ki.Stream(), binary);
      // There is more in this file but we don't need it.
    }

    SequentialBaseFloatMatrixReader feature_reader(feature_rspecifier);
    RandomAccessInt32VectorReader alignment_reader(alignment_rspecifier);

    std::map<EventType, GaussClusterable*> tree_stats;

    int num_done = 0, num_no_alignment = 0, num_other_error = 0;

    for (; !feature_reader.Done(); feature_reader.Next()) {
      std::string key = feature_reader.Key();
      if (!alignment_reader.HasKey(key)) {
        num_no_alignment++;
      } else {
        const Matrix<BaseFloat> &mat = feature_reader.Value();
        const std::vector<int32> &alignment = alignment_reader.Value(key);

        if (alignment.size() != mat.NumRows()) {
          KALDI_WARN << "Alignments has wrong size "<< (alignment.size())<<" vs. "<< (mat.NumRows());
          num_other_error++;
          continue;
        }

        AccumulateTreeStats(trans_model,
                            acc_tree_stats_info,
                            alignment,
                            mat,
                            &tree_stats);
        num_done++;
        if (num_done % 1000 == 0)
          KALDI_LOG << "Processed " << num_done << " utterances.";
      }
    }

    BuildTreeStatsType stats;  // vectorized form.

    for (std::map<EventType, GaussClusterable*>::const_iterator iter = tree_stats.begin();
         iter != tree_stats.end();
         ++iter) {
      stats.push_back(std::make_pair(iter->first, iter->second));
    }
    tree_stats.clear();

    {
      Output ko(accs_out_wxfilename, binary);
      WriteBuildTreeStats(ko.Stream(), binary, stats);
    }
    KALDI_LOG << "Accumulated stats for " << num_done << " files, "
              << num_no_alignment << " failed due to no alignment, "
              << num_other_error << " failed for other reasons.";
    KALDI_LOG << "Number of separate stats (context-dependent states) is "
              << stats.size();
    DeleteBuildTreeStats(&stats);
    if (num_done != 0) return 0;
    else return 1;
  } catch(const std::exception &e) {
    std::cerr << e.what();
    return -1;
  }
}