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A Comparison of Query-by-Example Methods for Spoken Term Detection
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In: DTIC (2009)
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Abstract:
In this paper we examine an alternative interface for phonetic search, namely query-by-example, that avoids OOV issues associated with both standard word-based and phonetic search methods. We develop three methods that compare query lattices derived from example audio against a standard ngrambased phonetic index and we analyze factors affecting the performance of these systems. We show that the best systems under this paradigm are able to achieve 77% precision when retrieving utterances from conversational telephone speech and returning 10 results from a single query (performance that is better than a similar dictionary-based approach) suggesting significant utility for applications requiring high precision. We also show that these systems can be further improved using relevance feedback: By incorporating four additional queries the precision of the best system can be improved by 13.7% relative. Our systems perform well despite high phone recognition error rates (> 40%) and make use of no pronunciation or letter-to-sound resources. ; Presented at Interspeech 2009, Brighton, UK, Sept. 6, 2009. U.S. Government or Federal Rights License
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Keyword:
*PHONETICS; DETECTION; ERRORS; INDEXES; INTERROGATION; Linguistics; QUERIES; RATES; RECOGNITION; SEARCHING; SPEECH; SYMPOSIA
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URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA514582
http://www.dtic.mil/docs/citations/ADA514582
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| 2 |
Plan Critiquing and Look-Ahead Constraint Reasoning for Active Templates
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In: DTIC AND NTIS (2004)
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| 3 |
Familiarity and Pronounceability of Nouns and Names
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In: Electrical and Computer Engineering Faculty Research and Publications (1999)
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