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Search of spoken documents retrieves well recognized transcripts

By M. Sanderson and X.M. Shou

Abstract

This paper presents a series of analyses and experiments on spoken\ud document retrieval systems: search engines that retrieve transcripts produced by\ud speech recognizers. Results show that transcripts that match queries well tend to\ud be recognized more accurately than transcripts that match a query less well.\ud This result was described in past literature, however, no study or explanation of\ud the effect has been provided until now. This paper provides such an analysis\ud showing a relationship between word error rate and query length. The paper\ud expands on past research by increasing the number of recognitions systems that\ud are tested as well as showing the effect in an operational speech retrieval\ud system. Potential future lines of enquiry are also described

Publisher: Springer
Year: 2007
OAI identifier: oai:eprints.whiterose.ac.uk:4588

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