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Error analysis of a public domain pronunciation dictionary

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dc.contributor.author Martirosian, O
dc.contributor.author Davel, M
dc.date.accessioned 2008-01-24T13:38:03Z
dc.date.available 2008-01-24T13:38:03Z
dc.date.issued 2007-11
dc.identifier.citation Martirosian, O and Davel, M. 2007. Error analysis of a public domain pronunciation dictionary. 18th Annual Symposium of the Pattern Recognition Association of South Africa (PRASA 2007), Pietermaritzburg, Kwazulu-Natal, South Africa, 28-30 November 2007, pp 13 en
dc.identifier.isbn 978-1-86840-656-2
dc.identifier.uri http://hdl.handle.net/10204/1973
dc.description 2007: PRASA en
dc.description.abstract The authors explore pattern recognition techniques for verifying the correctness of a pronunciation lexicon, focusing on techniques that require limited human interaction. They evaluate the British English Example Pronunciation (BEEP) dictionary [1], a popular public domain resource that is widely used in English speech processing systems. The techniques being investigated are applied to the lexicon and the results of each step are illustrated using sample entries. The authors found that as many as 5553 words in the BEEP dictionary are incorrect. They demonstrate the effect of correction techniques on a lexicon and implement the lexicon in an automatic speech recognition (ASR) system en
dc.language.iso en en
dc.publisher 18th Annual Symposium of the Pattern Recognition Association of South Africa (PRASA 2007) en
dc.subject Pronunciation dictionaries en
dc.subject Pattern recognition en
dc.subject BEEP en
dc.subject British English Example Pronunciation dictionary en
dc.subject ASR en
dc.subject Automatic speech recognition system en
dc.title Error analysis of a public domain pronunciation dictionary en
dc.type Conference Presentation en
dc.identifier.apacitation Martirosian, O., & Davel, M. (2007). Error analysis of a public domain pronunciation dictionary. 18th Annual Symposium of the Pattern Recognition Association of South Africa (PRASA 2007). http://hdl.handle.net/10204/1973 en_ZA
dc.identifier.chicagocitation Martirosian, O, and M Davel. "Error analysis of a public domain pronunciation dictionary." (2007): http://hdl.handle.net/10204/1973 en_ZA
dc.identifier.vancouvercitation Martirosian O, Davel M, Error analysis of a public domain pronunciation dictionary; 18th Annual Symposium of the Pattern Recognition Association of South Africa (PRASA 2007); 2007. http://hdl.handle.net/10204/1973 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Martirosian, O AU - Davel, M AB - The authors explore pattern recognition techniques for verifying the correctness of a pronunciation lexicon, focusing on techniques that require limited human interaction. They evaluate the British English Example Pronunciation (BEEP) dictionary [1], a popular public domain resource that is widely used in English speech processing systems. The techniques being investigated are applied to the lexicon and the results of each step are illustrated using sample entries. The authors found that as many as 5553 words in the BEEP dictionary are incorrect. They demonstrate the effect of correction techniques on a lexicon and implement the lexicon in an automatic speech recognition (ASR) system DA - 2007-11 DB - ResearchSpace DP - CSIR KW - Pronunciation dictionaries KW - Pattern recognition KW - BEEP KW - British English Example Pronunciation dictionary KW - ASR KW - Automatic speech recognition system LK - https://researchspace.csir.co.za PY - 2007 SM - 978-1-86840-656-2 T1 - Error analysis of a public domain pronunciation dictionary TI - Error analysis of a public domain pronunciation dictionary UR - http://hdl.handle.net/10204/1973 ER - en_ZA


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