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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| kaldi::nnet2 |
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double | DoBackpropParallel (const Nnet &nnet, int32 minibatch_size, SequentialNnetExampleReader *example_reader, double *tot_weight, Nnet *nnet_to_update) |
| This function is similar to "DoBackprop" in nnet-update.h This function computes the objective function and either updates the model or computes parameter gradients. More...
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double | DoBackpropSingleThreaded (const Nnet &nnet, int32 minibatch_size, const std::vector< NnetExample > &egs, double *tot_weight, Nnet *nnet_to_update) |
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double | DoBackpropParallel (const Nnet &nnet, int32 minibatch_size, int32 num_threads, const std::vector< NnetExample > &examples, double *num_frames, Nnet *nnet_to_update) |
| This version of DoBackpropParallel takes a vector of examples, and will typically be used to compute the exact gradient. More...
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