Position Specific Posterior Lattices for Indexing Speech

  title={Position Specific Posterior Lattices for Indexing Speech},
  author={Ciprian Chelba and Alex Acero},
The paper presents the Position Specific Posterior Lattice, a novel representation of automatic speech recognition lattices that naturally lends itself to efficient indexing of position information and subsequent relevance ranking of spoken documents using proximity. In experiments performed on a collection of lecture recordings — MIT iCampus data — the spoken document ranking accuracy was improved by 20% relative over the commonly used baseline of indexing the 1-best output from an automatic… CONTINUE READING
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  • The Mean Average Precision (MAP) increased from 0.53 when using 1-best output to 0.62 when using the new lattice representation.


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