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// chainbin/chain-est-phone-lm.cc
// Copyright 2015 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 "chain/language-model.h"
int main(int argc, char *argv[]) {
try {
using namespace kaldi;
using namespace kaldi::chain;
typedef kaldi::int32 int32;
const char *usage =
"Initialize un-smoothed phone language model for 'chain' training
"
"Output in FST format (epsilon-free deterministic acceptor)
"
"
"
"Usage: chain-est-phone-lm [options] <phone-seqs-rspecifier> <phone-lm-fst-out>
"
"The phone-sequences are used to train a language model.
"
"e.g.:
"
"gunzip -c input_dir/ali.*.gz | ali-to-phones input_dir/final.mdl ark:- ark:- | \\
"
" chain-est-phone-lm --leftmost-context-questions=dir/leftmost_questions.txt ark:- dir/phone_G.fst
";
bool binary_write = true;
LanguageModelOptions lm_opts;
ParseOptions po(usage);
po.Register("binary", &binary_write, "Write output in binary mode");
lm_opts.Register(&po);
po.Read(argc, argv);
if (po.NumArgs() != 2) {
po.PrintUsage();
exit(1);
}
std::string phone_seqs_rspecifier = po.GetArg(1),
lm_fst_wxfilename = po.GetArg(2);
LanguageModelEstimator lm_estimator(lm_opts);
SequentialInt32VectorReader phones_reader(phone_seqs_rspecifier);
KALDI_LOG << "Reading phone sequences";
for (; !phones_reader.Done(); phones_reader.Next()) {
const std::vector<int32> &phone_seq = phones_reader.Value();
lm_estimator.AddCounts(phone_seq);
}
KALDI_LOG << "Estimating phone LM";
fst::StdVectorFst fst;
lm_estimator.Estimate(&fst);
WriteFstKaldi(fst, lm_fst_wxfilename);
KALDI_LOG << "Estimated phone language model and wrote it to "
<< lm_fst_wxfilename;
return 0;
} catch(const std::exception &e) {
std::cerr << e.what() << '
';
return -1;
}
}
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