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apply-cmvn-sliding.cc File Reference
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Functions

int main (int argc, char *argv[])
 

Function Documentation

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

Definition at line 26 of file apply-cmvn-sliding.cc.

References SequentialTableReader< Holder >::Done(), ParseOptions::GetArg(), KALDI_LOG, KALDI_WARN, SequentialTableReader< Holder >::Key(), kaldi::kUndefined, SequentialTableReader< Holder >::Next(), SlidingWindowCmnOptions::normalize_variance, ParseOptions::NumArgs(), ParseOptions::PrintUsage(), ParseOptions::Read(), SlidingWindowCmnOptions::Register(), kaldi::SlidingWindowCmn(), SequentialTableReader< Holder >::Value(), and TableWriter< Holder >::Write().

26  {
27  try {
28  using namespace kaldi;
29  using kaldi::int32;
30 
31  const char *usage =
32  "Apply sliding-window cepstral mean (and optionally variance)\n"
33  "normalization per utterance. If center == true, window is centered\n"
34  "on frame being normalized; otherwise it precedes it in time.\n"
35  "Useful for speaker-id; see also apply-cmvn-online\n"
36  "\n"
37  "Usage: apply-cmvn-sliding [options] <feats-rspecifier> <feats-wspecifier>\n";
38 
39  ParseOptions po(usage);
41  opts.Register(&po);
42 
43  po.Read(argc, argv);
44 
45  if (po.NumArgs() != 2) {
46  po.PrintUsage();
47  exit(1);
48  }
49 
50  int32 num_done = 0, num_err = 0;
51 
52  std::string feat_rspecifier = po.GetArg(1);
53  std::string feat_wspecifier = po.GetArg(2);
54 
55  SequentialBaseFloatMatrixReader feat_reader(feat_rspecifier);
56  BaseFloatMatrixWriter feat_writer(feat_wspecifier);
57 
58  for (;!feat_reader.Done(); feat_reader.Next()) {
59  std::string utt = feat_reader.Key();
60  Matrix<BaseFloat> feat(feat_reader.Value());
61  if (feat.NumRows() == 0) {
62  KALDI_WARN << "Empty feature matrix for utterance " << utt;
63  num_err++;
64  continue;
65  }
66  Matrix<BaseFloat> cmvn_feat(feat.NumRows(),
67  feat.NumCols(), kUndefined);
68 
69  SlidingWindowCmn(opts, feat, &cmvn_feat);
70 
71  feat_writer.Write(utt, cmvn_feat);
72  num_done++;
73  }
74 
75  KALDI_LOG << "Applied sliding-window cepstral mean "
76  << (opts.normalize_variance ? "and variance " : "")
77  << "normalization to " << num_done << " utterances, "
78  << num_err << " had errors.";
79  return (num_done != 0 ? 0 : 1);
80  } catch(const std::exception &e) {
81  std::cerr << e.what();
82  return -1;
83  }
84 }
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
The class ParseOptions is for parsing command-line options; see Parsing command-line options for more...
Definition: parse-options.h:36
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
void Register(OptionsItf *opts)
#define KALDI_LOG
Definition: kaldi-error.h:133
void SlidingWindowCmn(const SlidingWindowCmnOptions &opts, const MatrixBase< BaseFloat > &input, MatrixBase< BaseFloat > *output)
Applies sliding-window cepstral mean and/or variance normalization.