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Development of a spoken language identification system for South African languages

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dc.contributor.author Peché, M
dc.contributor.author Davel, MH
dc.contributor.author Barnard, E
dc.date.accessioned 2010-04-18T13:44:45Z
dc.date.available 2010-04-18T13:44:45Z
dc.date.issued 2009-12
dc.identifier.citation Peché, M, Davel, MH and Barnard, E 2009. Development of a spoken language identification system for South African languages. South African Institute of Electrical Engineers (SAIEE), Africa Research Journal, Vol. 100(4), pp 97-103 en
dc.identifier.issn 1991-1696
dc.identifier.uri http://www.saiee.org.za/publications/2009/Dec/100_4_2.pdf
dc.identifier.uri http://hdl.handle.net/10204/4043
dc.description Copyright: 2009 South African Institute of Electrical Engineers en
dc.description.abstract This article introduces the first Spoken Language Identification system developed to distinguish among all eleven of South Africa’s official languages. The PPR-LM (Parallel Phoneme Recognition followed by Language Modeling) architecture is implemented, and techniques such as phoneme frequency filtering, which aims to utilize the available training data to maximum efficiency, are utilized. The system performs reasonably well, achieving an overall accuracy of 71.72% on test samples of three to ten seconds in length. This accuracy improves when the predicted results are combined into language families, reaching an overall accuracy of 82.39%. en
dc.language.iso en en
dc.publisher South African Institute of Electrical Engineers (SAIEE) en
dc.subject Spoken Language Identification en
dc.subject S-LID system en
dc.subject Parallel phoneme recognition followed by language modeling en
dc.subject PPR-LM en
dc.subject Language Identification system en
dc.subject Spoken Language development en
dc.subject South African languages en
dc.title Development of a spoken language identification system for South African languages en
dc.type Article en
dc.identifier.apacitation Peché, M., Davel, M., & Barnard, E. (2009). Development of a spoken language identification system for South African languages. http://hdl.handle.net/10204/4043 en_ZA
dc.identifier.chicagocitation Peché, M, MH Davel, and E Barnard "Development of a spoken language identification system for South African languages." (2009) http://hdl.handle.net/10204/4043 en_ZA
dc.identifier.vancouvercitation Peché M, Davel M, Barnard E. Development of a spoken language identification system for South African languages. 2009; http://hdl.handle.net/10204/4043. en_ZA
dc.identifier.ris TY - Article AU - Peché, M AU - Davel, MH AU - Barnard, E AB - This article introduces the first Spoken Language Identification system developed to distinguish among all eleven of South Africa’s official languages. The PPR-LM (Parallel Phoneme Recognition followed by Language Modeling) architecture is implemented, and techniques such as phoneme frequency filtering, which aims to utilize the available training data to maximum efficiency, are utilized. The system performs reasonably well, achieving an overall accuracy of 71.72% on test samples of three to ten seconds in length. This accuracy improves when the predicted results are combined into language families, reaching an overall accuracy of 82.39%. DA - 2009-12 DB - ResearchSpace DP - CSIR KW - Spoken Language Identification KW - S-LID system KW - Parallel phoneme recognition followed by language modeling KW - PPR-LM KW - Language Identification system KW - Spoken Language development KW - South African languages LK - https://researchspace.csir.co.za PY - 2009 SM - 1991-1696 T1 - Development of a spoken language identification system for South African languages TI - Development of a spoken language identification system for South African languages UR - http://hdl.handle.net/10204/4043 ER - en_ZA


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