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| class | AppendTransform |
| | This is a version of the transform class that consists of a number of other transforms, appended dimension-wise– e.g. More...
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| class | DifferentiableTransform |
| | This class is for speaker-dependent feature-space transformations – principally various varieties of fMLLR, including mean-only, diagonal and block-diagonal versions – which are intended for placement in the bottleneck of a neural net. More...
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| class | FmllrTransform |
| | Notes on the math behind differentiable fMLLR transform. More...
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| class | MinibatchInfoItf |
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| class | NoOpTransform |
| | This is a version of the transform class that does nothing. More...
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| class | SequenceTransform |
| | This is a version of the transform class that does a sequence of other transforms, specified by other instances of the DifferentiableTransform interface. More...
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| class | SimpleMeanTransform |
| | This version of the transform class does a mean normalization: adding an offset to its input so that the difference (per speaker) of the transformed class means from the speaker-independent class means is minimized. More...
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| class | SpeakerStatsItf |
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