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2. Phonetic confusion based document expansion for spoken document retrieval

Author

Nicolas Moreau, Hyoung-Gook Kim, and Thomas Sikora

Subjects
Information retrieval, Computer science, business.industry, InformationSystems_INFORMATIONSTORAGEANDRETRIEVAL, Search engine indexing, Document clustering, computer.software_genre, language.human_language, German, Phone, Vector space model, language, Visual Word, Artificial intelligence, Document retrieval, Representation (mathematics), business, computer, Natural language processing
Abstract

This paper presents a phone-based approach of spoken document retrieval (SDR), developed in the framework of the emerging MPEG-7 standard. We describe an indexing and retrieval system that uses phonetic information only. The retrieval method is based on the vector space IR model, using phone N-grams as indexing terms. We propose a technique to expand the representation of documents by means of phone confusion probabilities in order to improve the retrieval performance. This method is tested on a collection of short German spoken documents, using 10 city names as queries.

Published
2004
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