compute-mfcc-feats-cuda.cc
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// cudafeatbin/compute-mfcc-feats-cuda.cc
//
// Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
// Justin Luitjens
//
// 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
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
#include "base/kaldi-common.h"
#include "util/common-utils.h"
#include "cudafeat/feature-mfcc-cuda.h"
#include "feat/wave-reader.h"
#include "cudamatrix/cu-matrix.h"
#include "cudamatrix/cu-vector.h"
int main(int argc, char *argv[]) {
try {
using namespace kaldi;
const char *usage =
"Create MFCC feature files.\n"
"Usage: compute-mfcc-feats [options...] <wav-rspecifier> <feats-wspecifier>\n";
// construct all the global objects
ParseOptions po(usage);
MfccOptions mfcc_opts;
bool subtract_mean = false;
BaseFloat vtln_warp = 1.0;
std::string vtln_map_rspecifier;
std::string utt2spk_rspecifier;
int32 channel = -1;
BaseFloat min_duration = 0.0;
// Define defaults for gobal options
std::string output_format = "kaldi";
// Register the MFCC option struct
mfcc_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("vtln-warp", &vtln_warp, "Vtln warp factor (only applicable "
"if vtln-map not specified)");
po.Register("vtln-map", &vtln_map_rspecifier, "Map from utterance or "
"speaker-id to vtln warp factor (rspecifier)");
po.Register("utt2spk", &utt2spk_rspecifier, "Utterance to speaker-id map "
"rspecifier (if doing VTLN and you have warps per speaker)");
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.Read(argc, argv);
if (po.NumArgs() != 2) {
po.PrintUsage();
exit(1);
}
g_cuda_allocator.SetOptions(g_allocator_options);
CuDevice::Instantiate().SelectGpuId("yes");
CuDevice::Instantiate().AllowMultithreading();
std::string wav_rspecifier = po.GetArg(1);
std::string output_wspecifier = po.GetArg(2);
CudaMfcc mfcc(mfcc_opts);
SequentialTableReader<WaveHolder> reader(wav_rspecifier);
BaseFloatMatrixWriter kaldi_writer; // typedef to TableWriter<something>.
TableWriter<HtkMatrixHolder> htk_writer;
if (utt2spk_rspecifier != "")
KALDI_ASSERT(vtln_map_rspecifier != "" && "the utt2spk option is only "
"needed if the vtln-map option is used.");
RandomAccessBaseFloatReaderMapped vtln_map_reader(vtln_map_rspecifier,
utt2spk_rspecifier);
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;
}
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;
}
}
}
BaseFloat vtln_warp_local; // Work out VTLN warp factor.
if (vtln_map_rspecifier != "") {
if (!vtln_map_reader.HasKey(utt)) {
KALDI_WARN << "No vtln-map entry for utterance-id (or speaker-id) "
<< utt;
continue;
}
vtln_warp_local = vtln_map_reader.Value(utt);
} else {
vtln_warp_local = vtln_warp;
}
SubVector<BaseFloat> waveform(wave_data.Data(), this_chan);
Matrix<BaseFloat> features;
try {
CuVector<BaseFloat> cu_waveform(waveform);
CuMatrix<BaseFloat> cu_features;
mfcc.ComputeFeatures(cu_waveform, wave_data.SampFreq(), vtln_warp_local, &cu_features);
features.Resize(cu_features.NumRows(), cu_features.NumCols());
features.CopyFromMat(cu_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);
HtkHeader header = {
features.NumRows(),
100000, // 10ms shift
static_cast<int16>(sizeof(float)*(features.NumCols())),
static_cast<uint16>( 006 | // MFCC
(mfcc_opts.use_energy ? 0100 : 020000)) // energy; otherwise c0
};
p.second = header;
htk_writer.Write(utt, p);
}
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;
}
}