All Classes Namespaces Files Functions Variables Typedefs Enumerations Enumerator Friends Macros Modules Pages
gmm-est-fmllr-raw.cc File Reference
Include dependency graph for gmm-est-fmllr-raw.cc:

Go to the source code of this file.

Namespaces

 kaldi
 Relabels neural network egs with the read pdf-id alignments.
 

Functions

void AccStatsForUtterance (const TransitionModel &trans_model, const AmDiagGmm &am_gmm, const Posterior &post, const Matrix< BaseFloat > &feats, FmllrRawAccs *accs)
 
int main (int argc, char *argv[])
 

Function Documentation

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

Definition at line 51 of file gmm-est-fmllr-raw.cc.

References kaldi::AccStatsForUtterance(), count, AmDiagGmm::Dim(), SequentialTableReader< Holder >::Done(), ParseOptions::GetArg(), RandomAccessTableReader< Holder >::HasKey(), rnnlm::i, KALDI_LOG, KALDI_WARN, SequentialTableReader< Holder >::Key(), SequentialTableReader< Holder >::Next(), ParseOptions::NumArgs(), MatrixBase< Real >::NumRows(), ParseOptions::PrintUsage(), AmDiagGmm::Read(), ParseOptions::Read(), TransitionModel::Read(), kaldi::ReadKaldiObject(), FmllrRawOptions::Register(), ParseOptions::Register(), MatrixBase< Real >::SetUnit(), Input::Stream(), RandomAccessTableReader< Holder >::Value(), SequentialTableReader< Holder >::Value(), and TableWriter< Holder >::Write().

51  {
52  try {
53  typedef kaldi::int32 int32;
54  using namespace kaldi;
55  const char *usage =
56  "Estimate fMLLR transforms in the space before splicing and linear transforms\n"
57  "such as LDA+MLLT, but using models in the space transformed by these transforms\n"
58  "Requires the original spliced features, and the full LDA+MLLT (or similar) matrix\n"
59  "including the 'rejected' rows (see the program get-full-lda-mat)\n"
60  "Usage: gmm-est-fmllr-raw [options] <model-in> <full-lda-mat-in> "
61  "<feature-rspecifier> <post-rspecifier> <transform-wspecifier>\n";
62 
63 
64  int32 raw_feat_dim = 13;
65  ParseOptions po(usage);
66  FmllrRawOptions opts;
67  std::string spk2utt_rspecifier;
68  po.Register("spk2utt", &spk2utt_rspecifier, "rspecifier for speaker to "
69  "utterance-list map");
70  po.Register("raw-feat-dim", &raw_feat_dim, "Dimension of raw features "
71  "prior to splicing");
72  opts.Register(&po);
73 
74  po.Read(argc, argv);
75 
76  if (po.NumArgs() != 5) {
77  po.PrintUsage();
78  exit(1);
79  }
80 
81  std::string model_rxfilename = po.GetArg(1),
82  full_lda_mat_rxfilename = po.GetArg(2),
83  feature_rspecifier = po.GetArg(3),
84  post_rspecifier = po.GetArg(4),
85  transform_wspecifier = po.GetArg(5);
86 
87  AmDiagGmm am_gmm;
88  TransitionModel trans_model;
89  {
90  bool binary;
91  Input ki(model_rxfilename, &binary);
92  trans_model.Read(ki.Stream(), binary);
93  am_gmm.Read(ki.Stream(), binary);
94  }
95 
96  Matrix<BaseFloat> full_lda_mat;
97  ReadKaldiObject(full_lda_mat_rxfilename, &full_lda_mat);
98 
99  RandomAccessPosteriorReader post_reader(post_rspecifier);
100  BaseFloatMatrixWriter transform_writer(transform_wspecifier);
101 
102  double tot_auxf_impr = 0.0, tot_count = 0.0;
103 
104  int32 num_done = 0, num_err = 0;
105  if (!spk2utt_rspecifier.empty()) { // Adapting per speaker
106  SequentialTokenVectorReader spk2utt_reader(spk2utt_rspecifier);
107  RandomAccessBaseFloatMatrixReader feature_reader(feature_rspecifier);
108 
109  for (; !spk2utt_reader.Done(); spk2utt_reader.Next()) {
110  FmllrRawAccs accs(raw_feat_dim, am_gmm.Dim(), full_lda_mat);
111  std::string spk = spk2utt_reader.Key();
112  const std::vector<std::string> &uttlist = spk2utt_reader.Value();
113  for (size_t i = 0; i < uttlist.size(); i++) {
114  std::string utt = uttlist[i];
115  if (!feature_reader.HasKey(utt)) {
116  KALDI_WARN << "Features not found for utterance " << utt;
117  num_err++;
118  continue;
119  }
120  if (!post_reader.HasKey(utt)) {
121  KALDI_WARN << "Posteriors not found for utterance " << utt;
122  num_err++;
123  continue;
124  }
125  const Matrix<BaseFloat> &feats = feature_reader.Value(utt);
126  const Posterior &post = post_reader.Value(utt);
127  if (static_cast<int32>(post.size()) != feats.NumRows()) {
128  KALDI_WARN << "Size mismatch between posteriors " << post.size()
129  << " and features " << feats.NumRows();
130  num_err++;
131  continue;
132  }
133 
134  AccStatsForUtterance(trans_model, am_gmm, post, feats, &accs);
135  num_done++;
136  }
137 
138  BaseFloat auxf_impr, count;
139  {
140  Matrix<BaseFloat> transform(raw_feat_dim, raw_feat_dim + 1);
141  transform.SetUnit();
142  accs.Update(opts, &transform, &auxf_impr, &count);
143  transform_writer.Write(spk, transform);
144  }
145  KALDI_LOG << "For speaker " << spk << ", auxf-impr from raw fMLLR is "
146  << (auxf_impr/count) << " over " << count << " frames.";
147  tot_auxf_impr += auxf_impr;
148  tot_count += count;
149  }
150  } else { // --spk2utt option not given -> adapt per utterance.
151  SequentialBaseFloatMatrixReader feature_reader(feature_rspecifier);
152  for (; !feature_reader.Done(); feature_reader.Next()) {
153  std::string utt = feature_reader.Key();
154  if (!post_reader.HasKey(utt)) {
155  KALDI_WARN << "Posteriors not found for utterance " << utt;
156  num_err++;
157  continue;
158  }
159  const Matrix<BaseFloat> &feats = feature_reader.Value();
160  const Posterior &post = post_reader.Value(utt);
161 
162  if (static_cast<int32>(post.size()) != feats.NumRows()) {
163  KALDI_WARN << "Size mismatch between posteriors " << post.size()
164  << " and features " << feats.NumRows();
165  num_err++;
166  continue;
167  }
168 
169  FmllrRawAccs accs(raw_feat_dim, am_gmm.Dim(), full_lda_mat);
170 
171  AccStatsForUtterance(trans_model, am_gmm, post, feats, &accs);
172 
173  BaseFloat auxf_impr, count;
174  {
175  Matrix<BaseFloat> transform(raw_feat_dim, raw_feat_dim + 1);
176  transform.SetUnit();
177  accs.Update(opts, &transform, &auxf_impr, &count);
178  transform_writer.Write(utt, transform);
179  }
180  KALDI_LOG << "For utterance " << utt << ", auxf-impr from raw fMLLR is "
181  << (auxf_impr/count) << " over " << count << " frames.";
182  tot_auxf_impr += auxf_impr;
183  tot_count += count;
184  num_done++;
185  }
186  }
187 
188  KALDI_LOG << "Processed " << num_done << " utterances, "
189  << num_err << " had errors.";
190  KALDI_LOG << "Overall raw-fMLLR auxf impr per frame is "
191  << (tot_auxf_impr / tot_count) << " over " << tot_count
192  << " frames.";
193  return (num_done != 0 ? 0 : 1);
194  } catch(const std::exception &e) {
195  std::cerr << e.what();
196  return -1;
197  }
198 }
Relabels neural network egs with the read pdf-id alignments.
Definition: chain.dox:20
A templated class for writing objects to an archive or script file; see The Table concept...
Definition: kaldi-table.h:366
void ReadKaldiObject(const std::string &filename, Matrix< float > *m)
Definition: kaldi-io.cc:818
Allows random access to a collection of objects in an archive or script file; see The Table concept...
Definition: kaldi-table.h:233
const size_t count
float BaseFloat
Definition: kaldi-types.h:29
std::vector< std::vector< std::pair< int32, BaseFloat > > > Posterior
Posterior is a typedef for storing acoustic-state (actually, transition-id) posteriors over an uttera...
Definition: posterior.h:43
The class ParseOptions is for parsing command-line options; see Parsing command-line options for more...
Definition: parse-options.h:36
int32 Dim() const
Definition: am-diag-gmm.h:79
void Read(std::istream &is, bool binary)
void Register(OptionsItf *opts)
Definition: fmllr-raw.h:73
A templated class for reading objects sequentially from an archive or script file; see The Table conc...
Definition: kaldi-table.h:287
#define KALDI_WARN
Definition: kaldi-error.h:130
MatrixIndexT NumRows() const
Returns number of rows (or zero for emtpy matrix).
Definition: kaldi-matrix.h:58
void AccStatsForUtterance(const TransitionModel &trans_model, const AmDiagGmm &am_gmm, const GaussPost &gpost, const Matrix< BaseFloat > &feats, FmllrRawAccs *accs)
#define KALDI_LOG
Definition: kaldi-error.h:133
void Read(std::istream &in_stream, bool binary)
Definition: am-diag-gmm.cc:147