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See:
Description
Interface Summary | |
ConfidenceResult | Shows the confidence information about a Result. |
ConfidenceScorer | Computes confidences for a Result. |
Path | Represents a path of words through the recognition result lattice. |
ResultListener | The listener interface for being informed when new results are generated. |
WordResult | Represents a word in a recognition result. |
Class Summary | |
ConfusionSet | A confusion set is a set of words with their associated posteriors. |
Edge | Edges are part of Lattices. |
FrameStatistics | Contains statistics about a frame. |
GDLLatticeFactory | Creates a Lattice from a GDL (AISee) Lattice file. |
Lattice | Provides recognition lattice results. |
LatticeOptimizer | Class used to collapse all equivalent paths in a Lattice. |
MAPConfidenceScorer | Computes confidences for the highest scoring path in a Result. |
Node | Nodes are part of Lattices. |
Result | Provides recognition results. |
Sausage | A Sausage is a sequence of confusion sets, one for each position in an utterance. |
SausageMaker | The SausageMaker takes word lattices as input and turns them into sausages (Confusion Networks) according to Mangu, Brill and Stolcke, "Finding Consensus in Speech Recognition: word error minimization and other applications of confusion networks", Computer Speech and Language, 2000. |
SimpleWordResult | Represents a single word result with associated scoring and timing information. |
TokenGraphDumper | Dumps out the GDL graph of all the result token chains in a Result, as well as all the alternate hypotheses along those chains. |
WordResultPath | An implementation of a result Path that computes scores and confidences on the fly. |
Provides a set of classes that represent the result of a recognition. Results can maintained in a lattice, which is a directed graph of all the possible words recognized.
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