compute-atwv.cc
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// kwsbin/compute-atwv.cc
// Copyright (c) 2015, Johns Hopkins University (Yenda Trmal<jtrmal@gmail.com>)
// 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 <algorithm>
#include <iomanip> // std::setw
#include "base/kaldi-common.h"
#include "util/common-utils.h"
#include "util/stl-utils.h"
#include "kws/kws-scoring.h"
int main(int argc, char *argv[]) {
try {
using namespace kaldi;
typedef kaldi::int32 int32;
typedef kaldi::uint32 uint32;
typedef kaldi::uint64 uint64;
const char *usage = "Computes the Actual Term-Weighted Value and prints it."
"\n"
"Usage: \n"
" compute-atwv [options] <nof-trials> <ref-rspecifier>"
" <hyp-rspecifier> [alignment-csv-filename]\n"
"e.g.: \n"
" compute-atwv 32485.4 ark:ref.1 ark:hyp.1 ali.csv\n"
"or: \n"
" compute-atwv 32485.4 ark:ref.1 ark:hyp.1\n"
"\n"
"NOTES: \n"
" a) the number of trials is usually equal to the size of the searched\n"
" collection in seconds\n"
" b the ref-rspecifier/hyp-rspecifier are the kaldi IO specifiers \n"
" for both the reference and the hypotheses (found hits), "
" respectively The format is the same for both of them. Each line\n"
" is of the following format\n"
"\n"
" <KW-ID> <utterance-id> <start-frame> <end-frame> <score>\n\n"
" e.g.:\n\n"
" KW106-189 348 459 560 0.8\n"
"\n"
" b) the alignment-csv-filename is an optional parameter. \n"
" If present, the alignment i.e. detailed information about what \n"
" hypotheses match up with which reference entries will be \n"
" generated. The alignemnt file format is equivalent to \n"
" the alignment file produced using the F4DE tool. However, we do"
" not set some fields and the utterance identifiers are numeric.\n"
" You can use the script utils/int2sym.pl and the utterance and \n"
" keyword maps to convert the numerical ids into text form\n"
" c) the scores are expected to be probabilities. Please note that\n"
" the output from the kws-search is in -log(probability).\n"
" d) compute-atwv does not perform any score normalization (it's just\n"
" for scoring purposes). Without score normalization/calibration\n"
" the performance of the search will be quite poor.\n";
ParseOptions po(usage);
KwsTermsAlignerOptions ali_opts;
TwvMetricsOptions twv_opts;
int frames_per_sec = 100;
ali_opts.Register(&po);
twv_opts.Register(&po);
po.Register("frames-per-sec", &frames_per_sec,
"Number of feature vector frames per second. This is used only when"
"writing the alignment to a file");
po.Read(argc, argv);
if (po.NumArgs() < 3 || po.NumArgs() > 4) {
po.PrintUsage();
exit(1);
}
if (!kaldi::ConvertStringToReal(po.GetArg(1), &twv_opts.audio_duration)) {
KALDI_ERR << "The duration parameter is not a number";
}
if (twv_opts.audio_duration <= 0) {
KALDI_ERR << "The duration is either negative or zero";
}
KwsTermsAligner aligner(ali_opts);
TwvMetrics twv_scores(twv_opts);
std::string ref_rspecifier = po.GetArg(2),
hyp_rspecifier = po.GetArg(3),
ali_output = po.GetOptArg(4);
kaldi::SequentialTableReader< kaldi::BasicVectorHolder<double> >
ref_reader(ref_rspecifier);
for (; !ref_reader.Done(); ref_reader.Next()) {
std::string kwid = ref_reader.Key();
std::vector<double> vals = ref_reader.Value();
if (vals.size() != 4) {
KALDI_ERR << "Incorrect format of the reference file"
<< " -- 4 entries expected, " << vals.size() << " given!\n"
<< "Key: " << kwid;
}
KwsTerm inst(kwid, vals);
aligner.AddRef(inst);
}
kaldi::SequentialTableReader< kaldi::BasicVectorHolder<double> >
hyp_reader(hyp_rspecifier);
for (; !hyp_reader.Done(); hyp_reader.Next()) {
std::string kwid = hyp_reader.Key();
std::vector<double> vals = hyp_reader.Value();
if (vals.size() != 4) {
KALDI_ERR << "Incorrect format of the hypotheses file"
<< " -- 4 entries expected, " << vals.size() << " given!\n"
<< "Key: " << kwid;
}
KwsTerm inst(kwid, vals);
aligner.AddHyp(inst);
}
KALDI_LOG << "Read " << aligner.nof_hyps() << " hypotheses";
KALDI_LOG << "Read " << aligner.nof_refs() << " references";
KwsAlignment ali = aligner.AlignTerms();
if (ali_output != "") {
std::fstream fs;
fs.open(ali_output.c_str(), std::fstream::out);
ali.WriteCsv(fs, frames_per_sec);
fs.close();
}
TwvMetrics scores(twv_opts);
scores.AddAlignment(ali);
std::cout << "aproximate ATWV = "
<< std::fixed << std::setprecision(4)
<< scores.Atwv() << std::endl;
std::cout << "aproximate STWV = "
<< std::fixed << std::setprecision(4)
<< scores.Stwv() << std::endl;
float mtwv, mtwv_threshold, otwv;
scores.GetOracleMeasures(&mtwv, &mtwv_threshold, &otwv);
std::cout << "aproximate MTWV = "
<< std::fixed << std::setprecision(4)
<< mtwv << std::endl;
std::cout << "aproximate MTWV threshold = "
<< std::fixed << std::setprecision(4)
<< mtwv_threshold << std::endl;
std::cout << "aproximate OTWV = "
<< std::fixed << std::setprecision(4)
<< otwv << std::endl;
} catch(const std::exception &e) {
std::cerr << e.what();
return -1;
}
}