Go to the source code of this file.
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| kaldi |
| This code computes Goodness of Pronunciation (GOP) and extracts phone-level pronunciation feature for mispronunciations detection tasks, the reference:
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| kaldi::nnet2 |
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static void | CombineNnets (const Vector< BaseFloat > &scale_params, const std::vector< Nnet > &nnets, Nnet *dest) |
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static int32 | GetInitialModel (const std::vector< NnetExample > &validation_set, const std::vector< Nnet > &nnets) |
| Returns an integer saying which model to use: either 0 ... More...
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static void | GetInitialScaleParams (const NnetCombineConfig &combine_config, const std::vector< NnetExample > &validation_set, const std::vector< Nnet > &nnets, Vector< double > *scale_params) |
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static double | ComputeObjfAndGradient (const std::vector< NnetExample > &validation_set, const Vector< double > &scale_params, const std::vector< Nnet > &nnets, bool debug, Vector< double > *gradient) |
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void | CombineNnets (const NnetCombineConfig &combine_config, const std::vector< NnetExample > &validation_set, const std::vector< Nnet > &nnets, Nnet *nnet_out) |
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