sgmm2-est.cc
5.99 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
// sgmm2bin/sgmm2-est.cc
// Copyright 2009-2012 Saarland University (Author: Arnab Ghoshal)
// Johns Hopkins University (Author: 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 "util/kaldi-thread.h"
#include "sgmm2/am-sgmm2.h"
#include "hmm/transition-model.h"
#include "sgmm2/estimate-am-sgmm2.h"
int main(int argc, char *argv[]) {
try {
using namespace kaldi;
typedef kaldi::int32 int32;
const char *usage =
"Estimate SGMM model parameters from accumulated stats.\n"
"Usage: sgmm2-est [options] <model-in> <stats-in> <model-out>\n";
bool binary_write = true;
std::string update_flags_str = "vMNwucSt";
std::string write_flags_str = "gsnu";
kaldi::MleTransitionUpdateConfig tcfg;
kaldi::MleAmSgmm2Options sgmm_opts;
kaldi::Sgmm2SplitSubstatesConfig split_opts;
int32 increase_phn_dim = 0;
int32 increase_spk_dim = 0;
bool remove_speaker_space = false;
bool spk_dep_weights = false;
std::string occs_out_filename;
ParseOptions po(usage);
po.Register("binary", &binary_write, "Write output in binary mode");
po.Register("increase-phn-dim", &increase_phn_dim, "Increase phone-space "
"dimension as far as allowed towards this target.");
po.Register("increase-spk-dim", &increase_spk_dim, "Increase speaker-space "
"dimension as far as allowed towards this target.");
po.Register("spk-dep-weights", &spk_dep_weights, "If true, have speaker-"
"dependent weights (symmetric SGMM)-- this option only makes"
"a difference if you use the --increase-spk-dim option and "
"are increasing the speaker dimension from zero.");
po.Register("remove-speaker-space", &remove_speaker_space, "Remove speaker-specific "
"projections N");
po.Register("write-occs", &occs_out_filename, "File to write pdf "
"occupantion counts to.");
po.Register("update-flags", &update_flags_str, "Which SGMM parameters to "
"update: subset of vMNwcSt.");
po.Register("write-flags", &write_flags_str, "Which SGMM parameters to "
"write: subset of gsnu");
po.Register("num-threads", &g_num_threads, "Number of threads to use in "
"weight update and normalizer computation");
tcfg.Register(&po);
sgmm_opts.Register(&po);
split_opts.Register(&po);
po.Read(argc, argv);
if (po.NumArgs() != 3) {
po.PrintUsage();
exit(1);
}
std::string model_in_filename = po.GetArg(1),
stats_filename = po.GetArg(2),
model_out_filename = po.GetArg(3);
kaldi::SgmmUpdateFlagsType update_flags =
StringToSgmmUpdateFlags(update_flags_str);
kaldi::SgmmWriteFlagsType write_flags =
StringToSgmmWriteFlags(write_flags_str);
AmSgmm2 am_sgmm;
TransitionModel trans_model;
{
bool binary;
Input ki(model_in_filename, &binary);
trans_model.Read(ki.Stream(), binary);
am_sgmm.Read(ki.Stream(), binary);
}
Vector<double> transition_accs;
MleAmSgmm2Accs sgmm_accs;
{
bool binary;
Input ki(stats_filename, &binary);
transition_accs.Read(ki.Stream(), binary);
sgmm_accs.Read(ki.Stream(), binary, true); // true == add; doesn't matter here.
}
if (update_flags & kSgmmTransitions) { // Update transition model.
BaseFloat objf_impr, count;
trans_model.MleUpdate(transition_accs, tcfg, &objf_impr, &count);
KALDI_LOG << "Transition model update: Overall " << (objf_impr/count)
<< " log-like improvement per frame over " << (count)
<< " frames.";
}
sgmm_accs.Check(am_sgmm, true); // Will check consistency and print some diagnostics.
{ // Do the update.
kaldi::MleAmSgmm2Updater updater(sgmm_opts);
updater.Update(sgmm_accs, &am_sgmm, update_flags);
}
Vector<BaseFloat> pdf_occs;
sgmm_accs.GetStateOccupancies(&pdf_occs);
if (split_opts.split_substates != 0)
am_sgmm.SplitSubstates(pdf_occs, split_opts);
if (!occs_out_filename.empty()) {
kaldi::Output ko(occs_out_filename, binary_write);
pdf_occs.Write(ko.Stream(), binary_write);
}
if (increase_phn_dim != 0 || increase_spk_dim != 0) {
// Feature normalizing transform matrix used to initialize the new columns
// of the phonetic- or speaker-space projection matrices.
kaldi::Matrix<BaseFloat> norm_xform;
ComputeFeatureNormalizingTransform(am_sgmm.full_ubm(), &norm_xform);
if (increase_phn_dim != 0)
am_sgmm.IncreasePhoneSpaceDim(increase_phn_dim, norm_xform);
if (increase_spk_dim != 0)
am_sgmm.IncreaseSpkSpaceDim(increase_spk_dim, norm_xform,
spk_dep_weights);
}
if (remove_speaker_space) {
KALDI_LOG << "Removing speaker space (projections N_)";
am_sgmm.RemoveSpeakerSpace();
}
am_sgmm.ComputeDerivedVars(); // recompute normalizers, and possibly
// weights.
{
Output ko(model_out_filename, binary_write);
trans_model.Write(ko.Stream(), binary_write);
am_sgmm.Write(ko.Stream(), binary_write, write_flags);
}
KALDI_LOG << "Written model to " << model_out_filename;
return 0;
} catch(const std::exception &e) {
std::cerr << e.what();
return -1;
}
}