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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 |