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- W2122739968 abstract "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 speech recognizer. The Mean Average Precision (MAP) increased from 0.53 when using 1-best output to 0.62 when using the new lattice representation. The reference used for evaluation is the output of a standard retrieval engine working on the manual transcription of the speech collection.Albeit lossy, the PSPL lattice is also much more compact than the ASR 3-gram lattice from which it is computed --- which translates in reduced inverted index size as well --- at virtually no degradation in word-error-rate performance. Since new paths are introduced in the lattice, the ORACLE accuracy increases over the original ASR lattice." @default.
- W2122739968 created "2016-06-24" @default.
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- W2122739968 date "2005-01-01" @default.
- W2122739968 modified "2023-09-23" @default.
- W2122739968 title "Position specific posterior lattices for indexing speech" @default.
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- W2122739968 doi "https://doi.org/10.3115/1219840.1219895" @default.
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