| Link | https://jcaa.caa-aca.ca/index.php/jcaa/article/view/1662 |
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| Author | Search for: Inkpen, Diana; Search for: Désilets, Alain1 |
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| Affiliation | - National Research Council of Canada. NRC Institute for Information Technology
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| Format | Text, Article |
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| Subject | algorithms; audio systems; broadcasting; error analysis; semantics; speech; pointwise mutual information (PMI); semantic coherence; speech extractor systems; word error rates (WER) |
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| Abstract | A method for extracting keyphrase from spoken audio is discussed. The approach is based on the extractor system developed for text by Turney. The extractor uses a supervised learning approach to maximize the overlap between machine extracted and human extracted keyphrases. Each key word is detected with low similarity to its closest semantic neighbor, using an algorithm. |
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| Publication date | 2004-09-01 |
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| Publisher | Canadian Acoustical Association |
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| In | |
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| Language | English |
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| Peer reviewed | Yes |
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| NRC number | NRCC 47387 |
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| NPARC number | 5765099 |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | 1d95b252-4d49-4408-90ac-7b35acd957ec |
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| Record created | 2009-03-29 |
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| Record modified | 2022-06-29 |
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