Go to the source code of this file.
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|    | kaldi | 
|   | This code computes Goodness of Pronunciation (GOP) and extracts phone-level pronunciation feature for mispronunciations detection tasks, the reference: 
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|   | 
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| enum   | cova_type { full, 
diag
 } | 
|   | Generate features for a certain covariance type covariance_type == 0: full covariance covariance_type == 1: diagonal covariance.  More...
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|   | 
◆ main()
Definition at line 308 of file regtree-fmllr-diag-gmm-test.cc.
References kaldi::diag, kaldi::full, rnnlm::i, and kaldi::UnitTestRegtreeFmllrDiagGmm().
  309   for (
int i = 0; 
i <= 8; 
i+=2) {  
   310     std::cout << 
"--------------------------------------" << 
'\n';
   311     std::cout << 
"Test number " << 
i << 
'\n';
   312     std::cout << 
"--\nfeatures = full\n";
   314     std::cout << 
"--\nfeatures = diag\n";
   316     std::cout << 
"--------------------------------------" << 
'\n';
   318   std::cout << 
"Test OK.\n";
 
void UnitTestRegtreeFmllrDiagGmm(cova_type feature_type, size_t max_bclass)