Package edu.cmu.sphinx.result

Provides a set of classes that represent the result of a recognition.

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          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.
 

Package edu.cmu.sphinx.result Description

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.