compute-spectrogram-feats.cc
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// featbin/compute-spectrogram-feats.cc
// Copyright 2009-2011 Microsoft Corporation
// 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 "feat/feature-spectrogram.h"
#include "feat/wave-reader.h"
#include "util/common-utils.h"
int main(int argc, char *argv[]) {
try {
using namespace kaldi;
const char *usage =
"Create spectrogram feature files.\n"
"Usage: compute-spectrogram-feats [options...] <wav-rspecifier> "
"<feats-wspecifier>\n";
// Construct all the global objects.
ParseOptions po(usage);
SpectrogramOptions spec_opts;
// Define defaults for global options.
bool subtract_mean = false;
int32 channel = -1;
BaseFloat min_duration = 0.0;
std::string output_format = "kaldi";
std::string utt2dur_wspecifier;
// Register the option struct
spec_opts.Register(&po);
// Register the options
po.Register("output-format", &output_format,
"Format of the output files [kaldi, htk]");
po.Register("subtract-mean", &subtract_mean, "Subtract mean of each "
"feature file [CMS]; not recommended to do it this way. ");
po.Register("channel", &channel, "Channel to extract (-1 -> expect mono, "
"0 -> left, 1 -> right)");
po.Register("min-duration", &min_duration, "Minimum duration of segments "
"to process (in seconds).");
po.Register("write-utt2dur", &utt2dur_wspecifier, "Wspecifier to write "
"duration of each utterance in seconds, e.g. 'ark,t:utt2dur'.");
po.Read(argc, argv);
if (po.NumArgs() != 2) {
po.PrintUsage();
exit(1);
}
std::string wav_rspecifier = po.GetArg(1);
std::string output_wspecifier = po.GetArg(2);
Spectrogram spec(spec_opts);
SequentialTableReader<WaveHolder> reader(wav_rspecifier);
BaseFloatMatrixWriter kaldi_writer; // typedef to TableWriter<something>.
TableWriter<HtkMatrixHolder> htk_writer;
if (output_format == "kaldi") {
if (!kaldi_writer.Open(output_wspecifier))
KALDI_ERR << "Could not initialize output with wspecifier "
<< output_wspecifier;
} else if (output_format == "htk") {
if (!htk_writer.Open(output_wspecifier))
KALDI_ERR << "Could not initialize output with wspecifier "
<< output_wspecifier;
} else {
KALDI_ERR << "Invalid output_format string " << output_format;
}
DoubleWriter utt2dur_writer(utt2dur_wspecifier);
int32 num_utts = 0, num_success = 0;
for (; !reader.Done(); reader.Next()) {
num_utts++;
std::string utt = reader.Key();
const WaveData &wave_data = reader.Value();
if (wave_data.Duration() < min_duration) {
KALDI_WARN << "File: " << utt << " is too short ("
<< wave_data.Duration() << " sec): producing no output.";
continue;
}
int32 num_chan = wave_data.Data().NumRows(), this_chan = channel;
{ // This block works out the channel (0=left, 1=right...)
KALDI_ASSERT(num_chan > 0); // should have been caught in
// reading code if no channels.
if (channel == -1) {
this_chan = 0;
if (num_chan != 1)
KALDI_WARN << "Channel not specified but you have data with "
<< num_chan << " channels; defaulting to zero";
} else {
if (this_chan >= num_chan) {
KALDI_WARN << "File with id " << utt << " has "
<< num_chan << " channels but you specified channel "
<< channel << ", producing no output.";
continue;
}
}
}
SubVector<BaseFloat> waveform(wave_data.Data(), this_chan);
Matrix<BaseFloat> features;
try {
spec.ComputeFeatures(waveform, wave_data.SampFreq(), 1.0, &features);
} catch (...) {
KALDI_WARN << "Failed to compute features for utterance " << utt;
continue;
}
if (subtract_mean) {
Vector<BaseFloat> mean(features.NumCols());
mean.AddRowSumMat(1.0, features);
mean.Scale(1.0 / features.NumRows());
for (int32 i = 0; i < features.NumRows(); i++)
features.Row(i).AddVec(-1.0, mean);
}
if (output_format == "kaldi") {
kaldi_writer.Write(utt, features);
} else {
std::pair<Matrix<BaseFloat>, HtkHeader> p;
p.first.Resize(features.NumRows(), features.NumCols());
p.first.CopyFromMat(features);
int32 frame_shift = spec_opts.frame_opts.frame_shift_ms * 10000;
HtkHeader header = {
features.NumRows(),
frame_shift,
static_cast<int16>(sizeof(float)*features.NumCols()),
007 | 020000
};
p.second = header;
htk_writer.Write(utt, p);
}
if (utt2dur_writer.IsOpen()) {
utt2dur_writer.Write(utt, wave_data.Duration());
}
if(num_utts % 10 == 0)
KALDI_LOG << "Processed " << num_utts << " utterances";
KALDI_VLOG(2) << "Processed features for key " << utt;
num_success++;
}
KALDI_LOG << " Done " << num_success << " out of " << num_utts
<< " utterances.";
return (num_success != 0 ? 0 : 1);
} catch(const std::exception& e) {
std::cerr << e.what();
return -1;
}
}