Blame view
src/ivectorbin/select-voiced-frames.cc
3.69 KB
8dcb6dfcb
first commit
|
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 |
// ivectorbin/select-voiced-frames.cc
// Copyright 2013 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 "matrix/kaldi-matrix.h"
#include "feat/feature-functions.h"
int main(int argc, char *argv[]) {
try {
using namespace kaldi;
using kaldi::int32;
const char *usage =
"Select a subset of frames of the input files, based on the output of
"
"compute-vad or a similar program (a vector of length num-frames,
"
"containing 1.0 for voiced, 0.0 for unvoiced). Caution: this is
"
"mostly useful only in speaker identification applications.
"
"Usage: select-voiced-frames [options] <feats-rspecifier> "
" <vad-rspecifier> <feats-wspecifier>
"
"E.g.: select-voiced-frames [options] scp:feats.scp scp:vad.scp ark:-
";
ParseOptions po(usage);
po.Read(argc, argv);
if (po.NumArgs() != 3) {
po.PrintUsage();
exit(1);
}
std::string feat_rspecifier = po.GetArg(1),
vad_rspecifier = po.GetArg(2),
feat_wspecifier = po.GetArg(3);
SequentialBaseFloatMatrixReader feat_reader(feat_rspecifier);
RandomAccessBaseFloatVectorReader vad_reader(vad_rspecifier);
BaseFloatMatrixWriter feat_writer(feat_wspecifier);
int32 num_done = 0, num_err = 0;
for (;!feat_reader.Done(); feat_reader.Next()) {
std::string utt = feat_reader.Key();
const Matrix<BaseFloat> &feat = feat_reader.Value();
if (feat.NumRows() == 0) {
KALDI_WARN << "Empty feature matrix for utterance " << utt;
num_err++;
continue;
}
if (!vad_reader.HasKey(utt)) {
KALDI_WARN << "No VAD input found for utterance " << utt;
num_err++;
continue;
}
const Vector<BaseFloat> &voiced = vad_reader.Value(utt);
if (feat.NumRows() != voiced.Dim()) {
KALDI_WARN << "Mismatch in number for frames " << feat.NumRows()
<< " for features and VAD " << voiced.Dim()
<< ", for utterance " << utt;
num_err++;
continue;
}
if (voiced.Sum() == 0.0) {
KALDI_WARN << "No features were judged as voiced for utterance "
<< utt;
num_err++;
continue;
}
int32 dim = 0;
for (int32 i = 0; i < voiced.Dim(); i++)
if (voiced(i) != 0.0)
dim++;
Matrix<BaseFloat> voiced_feat(dim, feat.NumCols());
int32 index = 0;
for (int32 i = 0; i < feat.NumRows(); i++) {
if (voiced(i) != 0.0) {
KALDI_ASSERT(voiced(i) == 1.0); // should be zero or one.
voiced_feat.Row(index).CopyFromVec(feat.Row(i));
index++;
}
}
KALDI_ASSERT(index == dim);
feat_writer.Write(utt, voiced_feat);
num_done++;
}
KALDI_LOG << "Done selecting voiced frames; processed "
<< num_done << " utterances, "
<< num_err << " had errors.";
return (num_done != 0 ? 0 : 1);
} catch(const std::exception &e) {
std::cerr << e.what();
return -1;
}
}
|