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NAACL
1994

Speech-Based Retrieval Using Semantic Co-Occurrence Filtering

10 years 26 days ago
Speech-Based Retrieval Using Semantic Co-Occurrence Filtering
In this paper we demonstrate that speech recognition can be effectively applied to information retrieval (IR) applications. Our system exploits the fact that the intended words of a spoken query tend to co-occur in text documents in close proximity whereas word combinations that are the result of recognition errors are usually not semantically correlated and thus do not appear together. Termed "Semantic Co-occurrence Filtering" this enables the system to simultaneously disambiguate word hypotheses and find relevant text for retrieval. The system is built by integrating standard IR and speech recognition techniques. An evaluation of the system is preseated and we discuss several refinements to the functionality.
Julian Kupiec, Don Kimber, Vijay Balasubramanian
Added 02 Nov 2010
Updated 02 Nov 2010
Type Conference
Year 1994
Where NAACL
Authors Julian Kupiec, Don Kimber, Vijay Balasubramanian
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