#include "nnet2/nnet-nnet.h"
#include "util/table-types.h"
#include "lat/kaldi-lattice.h"
#include "util/kaldi-semaphore.h"
Go to the source code of this file.
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 |