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AwezaMed automatic speech recognition (ASR) test data

dc.contact.emailKCalteaux@csir.co.zaen_ZA
dc.contact.nameKaren Calteauxen_ZA
dc.contributor.authorBandehorst, Jaco
dc.contributor.otherVan Niekerk, Nina
dc.contributor.otherCalteaux, Karen
dc.date.accessioned2025-02-12T11:12:33Z
dc.date.available2025-02-12T11:12:33Z
dc.date.issued2020-12
dc.descriptionThe corpus contains orthographically transcribed broadband speech in four official languages of South Africa: Afrikaans, English, isiXhosa and isiZulu. Respondents read a number of ASR prompts (10 or 20) in a real-world environment. Dataset includes 1 hour of test dataen_ZA
dc.identifier.urihttps://hdl.handle.net/20.500.12185/688
dc.languagesAfrikaansen_ZA
dc.languagesEnglishen_ZA
dc.languagesisiXhosaen_ZA
dc.languagesisiZuluen_ZA
dc.media.categoryAnnotated Speech Corpusen_ZA
dc.publisherVoice Computing (VC) Research Group at the CSIR Nextgen Enterprises and Institutions (NGEI)en_ZA
dc.rights.licenseCreative Commons Attribution 3.0 Unported (CC BY 3.0): https://creativecommons.org/licenses/by/3.0/legalcodeen_ZA
dc.subjectASRen_ZA
dc.subjectTest dataen_ZA
dc.subjectSpeech corporaen_ZA
dc.subjectAwezaMeden_ZA
dc.titleAwezaMed automatic speech recognition (ASR) test dataen_ZA

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