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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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)