realv Layer::signalWeighting(FeatureVector _signal, Mat _weights) {
if (_signal.getLength() != ((uint) _weights.cols)) {
throw length_error("Layer : Uncorrect length between signal and weights");
}
realv sum = 0;
for (uint i = 0; i < _signal.getLength(); i++) {
sum += _signal[i] * _weights.at<realv>(0, i);
}
return sum;
}
realv SEMeasurer::totalError(FeatureVector _output, FeatureVector _target) {
if (_output.getLength() != _target.getLength()) {
throw length_error("SE : Output and target do not have the same size");
}
realv result = 0;
for (uint i = 0; i < _output.getLength(); i++) {
result += (_output[i] - _target[i]) * (_output[i] - _target[i]);
}
err = result;
return err;
}
ErrorVector SEMeasurer::errorPerUnit(FeatureVector _output, FeatureVector _target) {
if (_output.getLength() != _target.getLength()) {
throw length_error("SEMeasurer : Output and target do not have the same size");
}
ErrorVector result(_output.getLength());
for (uint i = 0; i < _output.getLength(); i++) {
result[i] = (_output[i] - _target[i]) * (_output[i] - _target[i]);
}
errPerUnit = result;
return result;
}
int main(int argc, char* argv[]) {
vector<string> arguments;
arguments.push_back("classification dataset");
arguments.push_back("save folder for the dataset, the folder must contain a lab, labTrain and htk subfolder");
arguments.push_back("model length, to suppres short training samples");
cout << helper("Create HTK learning files", "Create HTK learning files using a classification dataset.", arguments) << endl;
if (argc != arguments.size() + 1) {
cerr << "Not enough arguments, " << argc-1 << " given and "<< arguments.size()<<" required" << endl;
return EXIT_FAILURE;
}
ClassificationDataset datasetBasic;
datasetBasic.load(argv[1]);
cout << "Loaded dataset" << endl;
string saveLocation = argv[2];
vector<FeatureVector> sequence;
int length = atoi(argv[3]);
FeatureVector sample;
AEMeasurer ae;
ostringstream dictionnaryFileLocation;
ostringstream htkScpFileLocation;
ostringstream labScpFileLocation;
map<string,string> dictionnary;
dictionnaryFileLocation << saveLocation << "dictionnary.scp";
htkScpFileLocation << saveLocation << "dataFiles.scp";
labScpFileLocation << saveLocation << "labFiles.scp";
ofstream dictionnaryFile(dictionnaryFileLocation.str().c_str());
ofstream htkScp(htkScpFileLocation.str().c_str());
ofstream labScp(labScpFileLocation.str().c_str());
for (uint j = 0; j < datasetBasic.getNumSequences(); j++) {
sequence = datasetBasic[j];
vector<string> target = datasetBasic.getSequenceClasses(j);
if(sequence.size()>target.size()*length){
ostringstream sequenceFile, wordFile,wordFile2;
ostringstream word, spacedLetters;
sequenceFile << saveLocation << "htkn/" << j <<".htk";
wordFile << saveLocation << "lab/"<<j <<".lab";
wordFile2 << saveLocation << "labTrain/"<<j <<".lab";
htkScp << sequenceFile.str() << endl;
labScp << wordFile.str() << endl;
ofstream outputSequence(sequenceFile.str().c_str());
ofstream outputWord(wordFile.str().c_str());
ofstream outputWord2(wordFile2.str().c_str());
for (uint k = 0; k < sequence.size(); k++) {
sample = sequence[k];
for (uint i = 0; i < sample.getLength(); i++) {
outputSequence << sample[i] <<" " ;
}
outputSequence << endl;
}
for(uint k=0; k < target.size();k++){
outputWord << target[k] << endl;
outputWord2 << target[k] ;
word << target[k] ;
spacedLetters << target[k] << " ";
}
dictionnary.insert(pair<string,string>(word.str(),spacedLetters.str()));
outputWord.close();
outputSequence.close();
}
}
map<string,string>::iterator it ;
for(it=dictionnary.begin();it!=dictionnary.end();it++){
dictionnaryFile << (*it).first << " " << (*it).second << endl;
}
return EXIT_SUCCESS;
}
