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ASR corpus design for resource-scarce languages

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dc.contributor.author Barnard, E
dc.contributor.author Davel, M
dc.contributor.author Van Heerden, C
dc.date.accessioned 2012-02-15T14:09:00Z
dc.date.available 2012-02-15T14:09:00Z
dc.date.issued 2009-09
dc.identifier.citation Barnard, E, Davel, M and Van Heerden, C. ASR corpus design for resource-scarce languages. 10th Annual Conference of the International Speech Communication Association (Interspeech 2009), Brighton, UK, 6-10 September 2009, pp 2847-2850 en_US
dc.identifier.uri http://hdl.handle.net/10204/5576
dc.description 10th Annual Conference of the International Speech Communication Association (Interspeech 2009), Brighton, UK, 6-10 September 2009 en_US
dc.description.abstract The authors investigate the number of speakers and the amount of data that is required for the development of useable speaker-independent speech-recognition systems in resource-scarce languages. Their experiments employ the Lwazi corpus, which contains speech in the eleven official languages of South Africa. They find that a surprisingly small number of speakers (fewer than 50) and around 10 to 20 hours of speech per language are sufficient for the purposes of acceptable phone-based recognition. en_US
dc.language.iso en en_US
dc.publisher ISCA en_US
dc.subject Accurate speech recognition (ASR) en_US
dc.subject Lwazi en_US
dc.subject Resource scarce languages en_US
dc.subject Corpus design en_US
dc.title ASR corpus design for resource-scarce languages en_US
dc.type Conference Presentation en_US
dc.identifier.apacitation Barnard, E., Davel, M., & Van Heerden, C. (2009). ASR corpus design for resource-scarce languages. ISCA. http://hdl.handle.net/10204/5576 en_ZA
dc.identifier.chicagocitation Barnard, E, M Davel, and C Van Heerden. "ASR corpus design for resource-scarce languages." (2009): http://hdl.handle.net/10204/5576 en_ZA
dc.identifier.vancouvercitation Barnard E, Davel M, Van Heerden C, ASR corpus design for resource-scarce languages; ISCA; 2009. http://hdl.handle.net/10204/5576 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Barnard, E AU - Davel, M AU - Van Heerden, C AB - The authors investigate the number of speakers and the amount of data that is required for the development of useable speaker-independent speech-recognition systems in resource-scarce languages. Their experiments employ the Lwazi corpus, which contains speech in the eleven official languages of South Africa. They find that a surprisingly small number of speakers (fewer than 50) and around 10 to 20 hours of speech per language are sufficient for the purposes of acceptable phone-based recognition. DA - 2009-09 DB - ResearchSpace DP - CSIR KW - Accurate speech recognition (ASR) KW - Lwazi KW - Resource scarce languages KW - Corpus design LK - https://researchspace.csir.co.za PY - 2009 T1 - ASR corpus design for resource-scarce languages TI - ASR corpus design for resource-scarce languages UR - http://hdl.handle.net/10204/5576 ER - en_ZA


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