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| 1 | +// bin/latgen-incremental-mapped.cc |
| 2 | + |
| 3 | +// Copyright 2019 Zhehuai Chen |
| 4 | + |
| 5 | +// See ../../COPYING for clarification regarding multiple authors |
| 6 | +// |
| 7 | +// Licensed under the Apache License, Version 2.0 (the "License"); |
| 8 | +// you may not use this file except in compliance with the License. |
| 9 | +// You may obtain a copy of the License at |
| 10 | +// |
| 11 | +// http://www.apache.org/licenses/LICENSE-2.0 |
| 12 | +// |
| 13 | +// THIS CODE IS PROVIDED *AS IS* BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY |
| 14 | +// KIND, EITHER EXPRESS OR IMPLIED, INCLUDING WITHOUT LIMITATION ANY IMPLIED |
| 15 | +// WARRANTIES OR CONDITIONS OF TITLE, FITNESS FOR A PARTICULAR PURPOSE, |
| 16 | +// MERCHANTABLITY OR NON-INFRINGEMENT. |
| 17 | +// See the Apache 2 License for the specific language governing permissions and |
| 18 | +// limitations under the License. |
| 19 | + |
| 20 | +#include "base/kaldi-common.h" |
| 21 | +#include "util/common-utils.h" |
| 22 | +#include "tree/context-dep.h" |
| 23 | +#include "hmm/transition-model.h" |
| 24 | +#include "fstext/fstext-lib.h" |
| 25 | +#include "decoder/decoder-wrappers.h" |
| 26 | +#include "decoder/decodable-matrix.h" |
| 27 | +#include "base/timer.h" |
| 28 | + |
| 29 | +int main(int argc, char *argv[]) { |
| 30 | + try { |
| 31 | + using namespace kaldi; |
| 32 | + typedef kaldi::int32 int32; |
| 33 | + using fst::SymbolTable; |
| 34 | + using fst::Fst; |
| 35 | + using fst::StdArc; |
| 36 | + |
| 37 | + const char *usage = |
| 38 | + "Generate lattices, reading log-likelihoods as matrices\n" |
| 39 | + " (model is needed only for the integer mappings in its transition-model)\n" |
| 40 | + "The lattice determinization algorithm here can operate\n" |
| 41 | + "incrementally.\n" |
| 42 | + "Usage: latgen-incremental-mapped [options] trans-model-in " |
| 43 | + "(fst-in|fsts-rspecifier) loglikes-rspecifier" |
| 44 | + " lattice-wspecifier [ words-wspecifier [alignments-wspecifier] ]\n"; |
| 45 | + ParseOptions po(usage); |
| 46 | + Timer timer; |
| 47 | + bool allow_partial = false; |
| 48 | + BaseFloat acoustic_scale = 0.1; |
| 49 | + LatticeIncrementalDecoderConfig config; |
| 50 | + |
| 51 | + std::string word_syms_filename; |
| 52 | + config.Register(&po); |
| 53 | + po.Register("acoustic-scale", &acoustic_scale, |
| 54 | + "Scaling factor for acoustic likelihoods"); |
| 55 | + |
| 56 | + po.Register("word-symbol-table", &word_syms_filename, |
| 57 | + "Symbol table for words [for debug output]"); |
| 58 | + po.Register("allow-partial", &allow_partial, |
| 59 | + "If true, produce output even if end state was not reached."); |
| 60 | + |
| 61 | + po.Read(argc, argv); |
| 62 | + |
| 63 | + if (po.NumArgs() < 4 || po.NumArgs() > 6) { |
| 64 | + po.PrintUsage(); |
| 65 | + exit(1); |
| 66 | + } |
| 67 | + |
| 68 | + std::string model_in_filename = po.GetArg(1), fst_in_str = po.GetArg(2), |
| 69 | + feature_rspecifier = po.GetArg(3), lattice_wspecifier = po.GetArg(4), |
| 70 | + words_wspecifier = po.GetOptArg(5), |
| 71 | + alignment_wspecifier = po.GetOptArg(6); |
| 72 | + |
| 73 | + TransitionModel trans_model; |
| 74 | + ReadKaldiObject(model_in_filename, &trans_model); |
| 75 | + |
| 76 | + bool determinize = true; |
| 77 | + CompactLatticeWriter compact_lattice_writer; |
| 78 | + LatticeWriter lattice_writer; |
| 79 | + if (!(determinize ? compact_lattice_writer.Open(lattice_wspecifier) |
| 80 | + : lattice_writer.Open(lattice_wspecifier))) |
| 81 | + KALDI_ERR << "Could not open table for writing lattices: " |
| 82 | + << lattice_wspecifier; |
| 83 | + |
| 84 | + Int32VectorWriter words_writer(words_wspecifier); |
| 85 | + |
| 86 | + Int32VectorWriter alignment_writer(alignment_wspecifier); |
| 87 | + |
| 88 | + fst::SymbolTable *word_syms = NULL; |
| 89 | + if (word_syms_filename != "") |
| 90 | + if (!(word_syms = fst::SymbolTable::ReadText(word_syms_filename))) |
| 91 | + KALDI_ERR << "Could not read symbol table from file " << word_syms_filename; |
| 92 | + |
| 93 | + double tot_like = 0.0; |
| 94 | + kaldi::int64 frame_count = 0; |
| 95 | + int num_success = 0, num_fail = 0; |
| 96 | + |
| 97 | + if (ClassifyRspecifier(fst_in_str, NULL, NULL) == kNoRspecifier) { |
| 98 | + SequentialBaseFloatMatrixReader loglike_reader(feature_rspecifier); |
| 99 | + // Input FST is just one FST, not a table of FSTs. |
| 100 | + Fst<StdArc> *decode_fst = fst::ReadFstKaldiGeneric(fst_in_str); |
| 101 | + timer.Reset(); |
| 102 | + |
| 103 | + { |
| 104 | + LatticeIncrementalDecoder decoder(*decode_fst, trans_model, config); |
| 105 | + |
| 106 | + for (; !loglike_reader.Done(); loglike_reader.Next()) { |
| 107 | + std::string utt = loglike_reader.Key(); |
| 108 | + Matrix<BaseFloat> loglikes(loglike_reader.Value()); |
| 109 | + loglike_reader.FreeCurrent(); |
| 110 | + if (loglikes.NumRows() == 0) { |
| 111 | + KALDI_WARN << "Zero-length utterance: " << utt; |
| 112 | + num_fail++; |
| 113 | + continue; |
| 114 | + } |
| 115 | + |
| 116 | + DecodableMatrixScaledMapped decodable(trans_model, loglikes, |
| 117 | + acoustic_scale); |
| 118 | + |
| 119 | + double like; |
| 120 | + if (DecodeUtteranceLatticeIncremental( |
| 121 | + decoder, decodable, trans_model, word_syms, utt, acoustic_scale, |
| 122 | + determinize, allow_partial, &alignment_writer, &words_writer, |
| 123 | + &compact_lattice_writer, &lattice_writer, &like)) { |
| 124 | + tot_like += like; |
| 125 | + frame_count += loglikes.NumRows(); |
| 126 | + num_success++; |
| 127 | + } else { |
| 128 | + num_fail++; |
| 129 | + } |
| 130 | + } |
| 131 | + } |
| 132 | + delete decode_fst; // delete this only after decoder goes out of scope. |
| 133 | + } else { // We have different FSTs for different utterances. |
| 134 | + SequentialTableReader<fst::VectorFstHolder> fst_reader(fst_in_str); |
| 135 | + RandomAccessBaseFloatMatrixReader loglike_reader(feature_rspecifier); |
| 136 | + for (; !fst_reader.Done(); fst_reader.Next()) { |
| 137 | + std::string utt = fst_reader.Key(); |
| 138 | + if (!loglike_reader.HasKey(utt)) { |
| 139 | + KALDI_WARN << "Not decoding utterance " << utt |
| 140 | + << " because no loglikes available."; |
| 141 | + num_fail++; |
| 142 | + continue; |
| 143 | + } |
| 144 | + const Matrix<BaseFloat> &loglikes = loglike_reader.Value(utt); |
| 145 | + if (loglikes.NumRows() == 0) { |
| 146 | + KALDI_WARN << "Zero-length utterance: " << utt; |
| 147 | + num_fail++; |
| 148 | + continue; |
| 149 | + } |
| 150 | + LatticeIncrementalDecoder decoder(fst_reader.Value(), trans_model, config); |
| 151 | + DecodableMatrixScaledMapped decodable(trans_model, loglikes, acoustic_scale); |
| 152 | + double like; |
| 153 | + if (DecodeUtteranceLatticeIncremental( |
| 154 | + decoder, decodable, trans_model, word_syms, utt, acoustic_scale, |
| 155 | + determinize, allow_partial, &alignment_writer, &words_writer, |
| 156 | + &compact_lattice_writer, &lattice_writer, &like)) { |
| 157 | + tot_like += like; |
| 158 | + frame_count += loglikes.NumRows(); |
| 159 | + num_success++; |
| 160 | + } else { |
| 161 | + num_fail++; |
| 162 | + } |
| 163 | + } |
| 164 | + } |
| 165 | + |
| 166 | + double elapsed = timer.Elapsed(); |
| 167 | + KALDI_LOG << "Time taken " << elapsed |
| 168 | + << "s: real-time factor assuming 100 frames/sec is " |
| 169 | + << (elapsed * 100.0 / frame_count); |
| 170 | + KALDI_LOG << "Done " << num_success << " utterances, failed for " << num_fail; |
| 171 | + KALDI_LOG << "Overall log-likelihood per frame is " << (tot_like / frame_count) |
| 172 | + << " over " << frame_count << " frames."; |
| 173 | + |
| 174 | + delete word_syms; |
| 175 | + if (num_success != 0) |
| 176 | + return 0; |
| 177 | + else |
| 178 | + return 1; |
| 179 | + } catch (const std::exception &e) { |
| 180 | + std::cerr << e.what(); |
| 181 | + return -1; |
| 182 | + } |
| 183 | +} |
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