nnet-example.h File Reference
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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...


 This code computes Goodness of Pronunciation (GOP) and extracts phone-level pronunciation feature for mispronunciations detection tasks, the reference:


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