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src/ivectorbin/ivector-transform.cc
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// ivectorbin/ivector-transform.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 "gmm/am-diag-gmm.h"
#include "ivector/ivector-extractor.h"
#include "util/kaldi-thread.h"
int main(int argc, char *argv[]) {
using namespace kaldi;
typedef kaldi::int32 int32;
try {
const char *usage =
"Multiplies iVectors (on the left) by a supplied transformation matrix
"
"
"
"Usage: ivector-transform [options] <matrix-in> <ivector-rspecifier>"
"<ivector-wspecifier>
"
"e.g.:
"
" ivector-transform transform.mat ark:ivectors.ark ark:transformed_ivectors.ark
";
ParseOptions po(usage);
po.Read(argc, argv);
if (po.NumArgs() != 3) {
po.PrintUsage();
exit(1);
}
std::string matrix_rxfilename = po.GetArg(1),
ivector_rspecifier = po.GetArg(2),
ivector_wspecifier = po.GetArg(3);
Matrix<BaseFloat> transform;
ReadKaldiObject(matrix_rxfilename, &transform);
int32 num_done = 0;
// The following quantities will be needed if we're doing
// an affine transform (i.e. linear plus an offset)
SubMatrix<BaseFloat> linear_term(transform,
0, transform.NumRows(),
0, transform.NumCols() - 1);
Vector<BaseFloat> constant_term(transform.NumRows());
constant_term.CopyColFromMat(transform, transform.NumCols() - 1);
Vector<double> sum(transform.NumRows());
double sumsq = 0.0;
SequentialBaseFloatVectorReader ivector_reader(ivector_rspecifier);
BaseFloatVectorWriter ivector_writer(ivector_wspecifier);
for (; !ivector_reader.Done(); ivector_reader.Next()) {
std::string key = ivector_reader.Key();
const Vector<BaseFloat> &ivector = ivector_reader.Value();
Vector<BaseFloat> transformed_ivector(transform.NumRows());
if (ivector.Dim() == transform.NumCols()) {
transformed_ivector.AddMatVec(1.0, transform, kNoTrans, ivector, 0.0);
} else {
KALDI_ASSERT(ivector.Dim() == transform.NumCols() - 1);
transformed_ivector.CopyFromVec(constant_term);
transformed_ivector.AddMatVec(1.0, linear_term, kNoTrans, ivector, 1.0);
}
sum.AddVec(1.0, transformed_ivector);
sumsq += VecVec(transformed_ivector, transformed_ivector);
ivector_writer.Write(key, transformed_ivector);
num_done++;
}
KALDI_LOG << "Processed " << num_done << " iVectors.";
if (num_done != 0) {
sum.Scale(1.0 / num_done);
sumsq /= num_done;
BaseFloat mean_length = sum.Norm(2.0),
variance = sumsq - VecVec(sum, sum),
avg_len = sqrt(variance),
norm_length = avg_len / sqrt(transform.NumRows());
KALDI_LOG << "Norm of mean was " << mean_length
<< " (should be close to zero), length divided by sqrt(dim) was "
<< norm_length << " (should probably be close to one)";
}
return (num_done != 0 ? 0 : 1);
} catch(const std::exception &e) {
std::cerr << e.what();
return -1;
}
}
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