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src/sgmm2bin/init-ubm.cc
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// sgmmbin/init-ubm.cc // Copyright 2009-2011 Saarland University // Author: Arnab Ghoshal // 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 "util/kaldi-io.h" #include "gmm/diag-gmm.h" #include "gmm/full-gmm.h" #include "gmm/am-diag-gmm.h" #include "hmm/transition-model.h" int main(int argc, char *argv[]) { try { typedef kaldi::int32 int32; typedef kaldi::BaseFloat BaseFloat; const char *usage = "Cluster the Gaussians in a diagonal-GMM acoustic model " "to a single full-covariance or diagonal-covariance GMM. " "Usage: init-ubm [options] <model-file> <state-occs> <gmm-out> "; bool binary_write = true, fullcov_ubm = true; kaldi::ParseOptions po(usage); po.Register("binary", &binary_write, "Write output in binary mode"); po.Register("fullcov-ubm", &fullcov_ubm, "Write out full covariance UBM."); kaldi::UbmClusteringOptions ubm_opts; ubm_opts.Register(&po); po.Read(argc, argv); if (po.NumArgs() != 3) { po.PrintUsage(); exit(1); } ubm_opts.Check(); std::string model_in_filename = po.GetArg(1), occs_in_filename = po.GetArg(2), gmm_out_filename = po.GetArg(3); kaldi::AmDiagGmm am_gmm; kaldi::TransitionModel trans_model; { bool binary_read; kaldi::Input ki(model_in_filename, &binary_read); trans_model.Read(ki.Stream(), binary_read); am_gmm.Read(ki.Stream(), binary_read); } kaldi::Vector<BaseFloat> state_occs; state_occs.Resize(am_gmm.NumPdfs()); { bool binary_read; kaldi::Input ki(occs_in_filename, &binary_read); state_occs.Read(ki.Stream(), binary_read); } kaldi::DiagGmm ubm; ClusterGaussiansToUbm(am_gmm, state_occs, ubm_opts, &ubm); if (fullcov_ubm) { kaldi::FullGmm full_ubm; full_ubm.CopyFromDiagGmm(ubm); kaldi::Output ko(gmm_out_filename, binary_write); full_ubm.Write(ko.Stream(), binary_write); } else { kaldi::Output ko(gmm_out_filename, binary_write); ubm.Write(ko.Stream(), binary_write); } KALDI_LOG << "Written UBM to " << gmm_out_filename; } catch(const std::exception &e) { std::cerr << e.what() << ' '; return -1; } } |