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src/ivectorbin/compute-vad.cc
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// ivectorbin/compute-vad.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 "ivector/voice-activity-detection.h"
int main(int argc, char *argv[]) {
try {
using namespace kaldi;
using kaldi::int32;
const char *usage =
"This program reads input features and writes out, for each utterance,
"
"a vector of floats that are 1.0 if we judge the frame voice and 0.0
"
"otherwise. The algorithm is very simple and is based on thresholding
"
"the log mel energy (and taking the consensus of threshold decisions
"
"within a window centered on the current frame). See the options for
"
"more details, and egs/sid/s1/run.sh for examples; this program is
"
"intended for use in speaker-ID.
"
"
"
"Usage: compute-vad [options] <feats-rspecifier> <vad-wspecifier>
"
"e.g.: compute-vad scp:feats.scp ark:vad.ark
";
ParseOptions po(usage);
bool omit_unvoiced_utts = false;
po.Register("omit-unvoiced-utts", &omit_unvoiced_utts,
"If true, do not write out voicing information for "
"utterances that were judged 100% unvoiced.");
VadEnergyOptions opts;
opts.Register(&po);
po.Read(argc, argv);
if (po.NumArgs() != 2) {
po.PrintUsage();
exit(1);
}
std::string feat_rspecifier = po.GetArg(1);
std::string vad_wspecifier = po.GetArg(2);
SequentialBaseFloatMatrixReader feat_reader(feat_rspecifier);
BaseFloatVectorWriter vad_writer(vad_wspecifier);
int32 num_done = 0, num_err = 0;
int32 num_unvoiced = 0;
double tot_length = 0.0, tot_decision = 0.0;
for (;!feat_reader.Done(); feat_reader.Next()) {
std::string utt = feat_reader.Key();
Matrix<BaseFloat> feat(feat_reader.Value());
if (feat.NumRows() == 0) {
KALDI_WARN << "Empty feature matrix for utterance " << utt;
num_err++;
continue;
}
Vector<BaseFloat> vad_result(feat.NumRows());
ComputeVadEnergy(opts, feat, &vad_result);
double sum = vad_result.Sum();
if (sum == 0.0) {
KALDI_WARN << "No frames were judged voiced for utterance " << utt;
num_unvoiced++;
} else {
num_done++;
}
tot_decision += vad_result.Sum();
tot_length += vad_result.Dim();
if (!(omit_unvoiced_utts && sum == 0)) {
vad_writer.Write(utt, vad_result);
}
}
KALDI_LOG << "Applied energy based voice activity detection; "
<< "processed " << num_done << " utterances successfully; "
<< num_err << " had empty features, and " << num_unvoiced
<< " were completely unvoiced.";
KALDI_LOG << "Proportion of voiced frames was "
<< (tot_decision / tot_length) << " over "
<< tot_length << " frames.";
return (num_done != 0 ? 0 : 1);
} catch(const std::exception &e) {
std::cerr << e.what();
return -1;
}
}
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