// 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\n" "\n" "Usage: ivector-transform [options] " "\n" "e.g.: \n" " ivector-transform transform.mat ark:ivectors.ark ark:transformed_ivectors.ark\n"; 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 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 linear_term(transform, 0, transform.NumRows(), 0, transform.NumCols() - 1); Vector constant_term(transform.NumRows()); constant_term.CopyColFromMat(transform, transform.NumCols() - 1); Vector 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 &ivector = ivector_reader.Value(); Vector 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; } }