#include "nnet2/nnet-nnet.h"#include "util/table-types.h"#include "lat/kaldi-lattice.h"#include "util/kaldi-semaphore.h"

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Classes | |
| struct | NnetExample | 
| NnetExample is the input data and corresponding label (or labels) for one or more frames of input, used for standard cross-entropy training of neural nets (and possibly for other objective functions).  More... | |
| class | ExamplesRepository | 
| This class stores neural net training examples to be used in multi-threaded training.  More... | |
| struct | DiscriminativeNnetExample | 
| This struct is used to store the information we need for discriminative training (MMI or MPE).  More... | |
Namespaces | |
| kaldi | |
| This code computes Goodness of Pronunciation (GOP) and extracts phone-level pronunciation feature for mispronunciations detection tasks, the reference:  | |
| kaldi::nnet2 | |
Typedefs | |
| typedef TableWriter< KaldiObjectHolder< NnetExample > > | NnetExampleWriter | 
| typedef SequentialTableReader< KaldiObjectHolder< NnetExample > > | SequentialNnetExampleReader | 
| typedef RandomAccessTableReader< KaldiObjectHolder< NnetExample > > | RandomAccessNnetExampleReader | 
| typedef TableWriter< KaldiObjectHolder< DiscriminativeNnetExample > > | DiscriminativeNnetExampleWriter | 
| typedef SequentialTableReader< KaldiObjectHolder< DiscriminativeNnetExample > > | SequentialDiscriminativeNnetExampleReader | 
| typedef RandomAccessTableReader< KaldiObjectHolder< DiscriminativeNnetExample > > | RandomAccessDiscriminativeNnetExampleReader |