Method and system for retrieving documents with spoken queries

Details Method and system for retrieving documents with spoken queries Method and system for retrieving documents with spoken queries

2005-04-05

2005-04-05

Mizrahi, Diane D. (Department: 2165)

Data processing: database and file management or data structures

Database design

Data structure types

Reexamination Certificate

active

06877001

ABSTRACT:
A system and method indexes and retrieves documents stored in a database. A document feature vector is extracted for each document to be indexed. The feature vector is projected to a low dimension document feature vector, and the documents are indexed according to the low dimension document feature vectors. A spoken query is represented as a lattice indicating possible sequential combinations of words in the spoken query. The lattice is converted to a query certainty vector, which is also projected to a low dimension query certainty vector. The low dimension query vector is compared to each of the low dimension document feature vectors to retrieve a matching result set of documents.

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Evermann et al., “Large vocabulary decoding and confidence estimation using word posterior probabilities,” Proceedings of the IEEE international conference on acoustics speech and signal processing, 2000, p. 1-4.
Moreno et al., “A boosting approach to confidence scoring,” Proceedings of Eurospeech, 2001, p. 1-4.

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