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| class | RecyclingVector |
| | This class serves as a storage for feature vectors with an option to limit the memory usage by removing old elements. More...
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| class | OnlineGenericBaseFeature< C > |
| | This is a templated class for online feature extraction; it's templated on a class like MfccComputer or PlpComputer that does the basic feature extraction. More...
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| class | OnlineMatrixFeature |
| | This class takes a Matrix<BaseFloat> and wraps it as an OnlineFeatureInterface: this can be useful where some earlier stage of feature processing has been done offline but you want to use part of the online pipeline. More...
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| struct | OnlineCmvnOptions |
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| struct | OnlineCmvnState |
| | Struct OnlineCmvnState stores the state of CMVN adaptation between utterances (but not the state of the computation within an utterance). More...
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| class | OnlineCmvn |
| | This class does an online version of the cepstral mean and [optionally] variance, but note that this is not equivalent to the offline version. More...
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| struct | OnlineSpliceOptions |
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| class | OnlineSpliceFrames |
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| class | OnlineTransform |
| | This online-feature class implements any affine or linear transform. More...
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| class | OnlineDeltaFeature |
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| class | OnlineCacheFeature |
| | This feature type can be used to cache its input, to avoid repetition of computation in a multi-pass decoding context. More...
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| class | OnlineAppendFeature |
| | This online-feature class implements combination of two feature streams (such as pitch, plp) into one stream. More...
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| struct | OnlineFeaturePipelineCommandLineConfig |
| | This configuration class is to set up OnlineFeaturePipelineConfig, which in turn is the configuration class for OnlineFeaturePipeline. More...
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| struct | OnlineFeaturePipelineConfig |
| | This configuration class is responsible for storing the configuration options for OnlineFeaturePipeline, but it does not set them. More...
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| class | OnlineFeaturePipeline |
| | OnlineFeaturePipeline is a class that's responsible for putting together the various stages of the feature-processing pipeline, in an online setting. More...
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| struct | OnlineIvectorExtractionConfig |
| | This class includes configuration variables relating to the online iVector extraction, but not including configuration for the "base feature", i.e. More...
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| struct | OnlineIvectorExtractionInfo |
| | This struct contains various things that are needed (as const references) by class OnlineIvectorExtractor. More...
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| struct | OnlineIvectorExtractorAdaptationState |
| | This class stores the adaptation state from the online iVector extractor, which can help you to initialize the adaptation state for the next utterance of the same speaker in a more informed way. More...
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| class | OnlineIvectorFeature |
| | OnlineIvectorFeature is an online feature-extraction class that's responsible for extracting iVectors from raw features such as MFCC, PLP or filterbank. More...
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| struct | OnlineSilenceWeightingConfig |
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| class | OnlineSilenceWeighting |
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| struct | OnlineNnet2FeaturePipelineConfig |
| | This configuration class is to set up OnlineNnet2FeaturePipelineInfo, which in turn is the configuration class for OnlineNnet2FeaturePipeline. More...
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| struct | OnlineNnet2FeaturePipelineInfo |
| | This class is responsible for storing configuration variables, objects and options for OnlineNnet2FeaturePipeline (including the actual LDA and CMVN-stats matrices, and the iVector extractor, which is a member of ivector_extractor_info. More...
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| class | OnlineNnet2FeaturePipeline |
| | OnlineNnet2FeaturePipeline is a class that's responsible for putting together the various parts of the feature-processing pipeline for neural networks, in an online setting. More...
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1.8.13