// latbin/lattice-best-path.cc // Copyright 2009-2011 Microsoft Corporation // 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 "fstext/fstext-lib.h" #include "lat/kaldi-lattice.h" #include "lat/lattice-functions.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 = "Generate 1-best path through lattices; output as transcriptions and alignments\n" "Note: if you want output as FSTs, use lattice-1best; if you want output\n" "with acoustic and LM scores, use lattice-1best | nbest-to-linear\n" "Usage: lattice-best-path [options] lattice-rspecifier [ transcriptions-wspecifier [ alignments-wspecifier] ]\n" " e.g.: lattice-best-path --acoustic-scale=0.1 ark:1.lats ark:1.tra ark:1.ali\n"; ParseOptions po(usage); BaseFloat acoustic_scale = 1.0; BaseFloat lm_scale = 1.0; std::string word_syms_filename; po.Register("acoustic-scale", &acoustic_scale, "Scaling factor for acoustic likelihoods"); po.Register("lm-scale", &lm_scale, "Scaling factor for LM probabilities. " "Note: the ratio acoustic-scale/lm-scale is all that matters."); po.Register("word-symbol-table", &word_syms_filename, "Symbol table for words [for debug output]"); po.Read(argc, argv); if (po.NumArgs() < 1 || po.NumArgs() > 3) { po.PrintUsage(); exit(1); } std::string lats_rspecifier = po.GetArg(1), transcriptions_wspecifier = po.GetOptArg(2), alignments_wspecifier = po.GetOptArg(3); SequentialCompactLatticeReader clat_reader(lats_rspecifier); Int32VectorWriter transcriptions_writer(transcriptions_wspecifier); Int32VectorWriter alignments_writer(alignments_wspecifier); fst::SymbolTable *word_syms = NULL; if (word_syms_filename != "") if (!(word_syms = fst::SymbolTable::ReadText(word_syms_filename))) KALDI_ERR << "Could not read symbol table from file " << word_syms_filename; int32 n_done = 0, n_fail = 0; int64 n_frame = 0; LatticeWeight tot_weight = LatticeWeight::One(); for (; !clat_reader.Done(); clat_reader.Next()) { std::string key = clat_reader.Key(); CompactLattice clat = clat_reader.Value(); clat_reader.FreeCurrent(); fst::ScaleLattice(fst::LatticeScale(lm_scale, acoustic_scale), &clat); CompactLattice clat_best_path; CompactLatticeShortestPath(clat, &clat_best_path); // A specialized // implementation of shortest-path for CompactLattice. Lattice best_path; ConvertLattice(clat_best_path, &best_path); if (best_path.Start() == fst::kNoStateId) { KALDI_WARN << "Best-path failed for key " << key; n_fail++; } else { std::vector alignment; std::vector words; LatticeWeight weight; GetLinearSymbolSequence(best_path, &alignment, &words, &weight); KALDI_LOG << "For utterance " << key << ", best cost " << weight.Value1() << " + " << weight.Value2() << " = " << (weight.Value1() + weight.Value2()); if (transcriptions_wspecifier != "") transcriptions_writer.Write(key, words); if (alignments_wspecifier != "") alignments_writer.Write(key, alignment); if (word_syms != NULL) { std::cerr << key << ' '; for (size_t i = 0; i < words.size(); i++) { std::string s = word_syms->Find(words[i]); if (s == "") KALDI_ERR << "Word-id " << words[i] <<" not in symbol table."; std::cerr << s << ' '; } std::cerr << '\n'; } n_done++; n_frame += alignment.size(); tot_weight = Times(tot_weight, weight); } } BaseFloat tot_weight_float = tot_weight.Value1() + tot_weight.Value2(); KALDI_LOG << "Overall score per frame is " << (tot_weight_float/n_frame) << " = " << (tot_weight.Value1()/n_frame) << " [graph]" << " + " << (tot_weight.Value2()/n_frame) << " [acoustic]" << " over " << n_frame << " frames."; KALDI_LOG << "Done " << n_done << " lattices, failed for " << n_fail; if (word_syms) delete word_syms; if (n_done != 0) return 0; else return 1; } catch(const std::exception &e) { std::cerr << e.what(); return -1; } }