| Publisher | Institute of Electrical and Electronics Engineers | ||
|---|---|---|---|
| Format | 142.0KB PDF | Date added | 19 Apr 2006 |
| Topics | Search Strategies, Voice Recognition | ||
| Downloads | 21 | ||
In many keyword-spotting systems, the word posterior probability is an elementary quantity. In theory, the posterior of a keyword match denotes the probability of the match being correct. However, posteriors estimated on lattices, in particular phoneme lattices, are often off by orders of magnitude. This paper investigates the problem of providing "Correct" posteriors, in the context of lattice-based word spotting. Unlike other work on word posteriors that focuses on relative ranking of posteriors, the paper emphasizes relevance of the absolute value of the posterior in the user scenario. This paper stipulates that the posteriors should approach empirical precisions in a limit sense. Using this as a constraint, the authors estimate a mapping function based on Maximum Entropy.
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