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Lwazi isiNdebele ASR corpus

dc.contact.emailjbadenhorst@csir.co.za
dc.contact.nameJaco Badenhorst
dc.contributor.authorCharl van Heerden
dc.contributor.authorEtienne Barnard
dc.contributor.authorJaco Badenhorst
dc.contributor.authorMarelie Davel
dc.date.accessioned2018-02-05T20:23:42Z
dc.date.accessioned2018-03-05T17:55:33Z
dc.date.available2018-02-05T20:23:42Z
dc.date.available2018-03-05T17:55:33Z
dc.date.issued2013-04-02
dc.descriptionComplete audio recordings and orthographic transcriptions used for Lwazi speech recognition systems.
dc.format.extent600 Mb (unzipped)
dc.format.mediumTranscriptions: a) One utterance per file b) ANSI (Unicode) c) txt Audio: a) 8 KHz b) 16-bit c) 1 Channel; telephone d) wav
dc.format.size10:14:47
dc.identifier.citationE. Barnard, M. Davel and C. van Heerden, "ASR Corpus Design for Resource-Scarce Languages," in Proceedings of the 10th Annual Conference of the International Speech Communication Association (Interspeech), Brighton, United Kingdom, September 2009, pp. 2847-2850.
dc.identifier.islrn832-985-371-033-4
dc.identifier.urihttps://hdl.handle.net/20.500.12185/457
dc.language.isonbl
dc.languagesisiNdebele
dc.media.categoryMonolingual speech corpora: Annotated
dc.media.typeSpeech
dc.projectLwazi
dc.publisherMeraka Institute, CSIR
dc.rights.licenseCreative Commons Attribution 2.5 South Africa License: http://creativecommons.org/licenses/by/2.5/za/legalcode
dc.sourceBooks
dc.sourceGovernment Documents
dc.sourcePeriodicals
dc.sourceWeb
dc.stratum200 speakers (~14 elicited utterances, ~16 phonetically balanced read sentences).
dc.titleLwazi isiNdebele ASR corpus
dc.typeData
dc.version1
local.collection.primaryResource Catalogue
local.collection.secondaryResource Index

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