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Classes | |
struct | NnetIo |
struct | NnetIoStructureHasher |
This hashing object hashes just the structural aspects of the NnetIo object (name, indexes, feature dimension) without looking at the value of features. More... | |
struct | NnetIoStructureCompare |
This comparison object compares just the structural aspects of the NnetIo object (name, indexes, feature dimension) without looking at the value of features. More... | |
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... | |
struct | NnetExampleStructureHasher |
This hashing object hashes just the structural aspects of the NnetExample without looking at the value of the features. More... | |
struct | NnetExampleStructureCompare |
This comparator object compares just the structural aspects of the NnetExample without looking at the value of the features. More... | |
Namespaces | |
kaldi | |
This code computes Goodness of Pronunciation (GOP) and extracts phone-level pronunciation feature for mispronunciations detection tasks, the reference: | |
kaldi::nnet3 | |
Typedefs | |
typedef TableWriter< KaldiObjectHolder< NnetExample > > | NnetExampleWriter |
typedef SequentialTableReader< KaldiObjectHolder< NnetExample > > | SequentialNnetExampleReader |
typedef RandomAccessTableReader< KaldiObjectHolder< NnetExample > > | RandomAccessNnetExampleReader |