AwezaMed automatic speech recognition (ASR) test data

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dc.contact.email	KCalteaux@csir.co.za	en_ZA
dc.contact.name	Karen Calteaux	en_ZA
dc.contributor.author	Bandehorst, Jaco
dc.contributor.other	Van Niekerk, Nina
dc.contributor.other	Calteaux, Karen
dc.date.accessioned	2025-02-12T11:12:33Z
dc.date.available	2025-02-12T11:12:33Z
dc.date.issued	2020-12
dc.description	The 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 data	en_ZA
dc.identifier.uri	https://hdl.handle.net/20.500.12185/688
dc.languages	Afrikaans	en_ZA
dc.languages	English	en_ZA
dc.languages	isiXhosa	en_ZA
dc.languages	isiZulu	en_ZA
dc.media.category	Annotated Speech Corpus	en_ZA
dc.publisher	Voice Computing (VC) Research Group at the CSIR Nextgen Enterprises and Institutions (NGEI)	en_ZA
dc.rights.license	Creative Commons Attribution 3.0 Unported (CC BY 3.0): https://creativecommons.org/licenses/by/3.0/legalcode	en_ZA
dc.subject	ASR	en_ZA
dc.subject	Test data	en_ZA
dc.subject	Speech corpora	en_ZA
dc.subject	AwezaMed	en_ZA
dc.title	AwezaMed automatic speech recognition (ASR) test data	en_ZA

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Description:: AwezaMed ASR test data

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