AwezaMed automatic speech recognition (ASR) test data

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MD5: 6f3666550449996de147cb9989e80bff
MD5: 96cd59a1f2e5c02bd14c3e09e504cb5e
MD5: 0fb3810f9612303012d5937671013341
MD5: 790b5d7a88e9f7f0ffad80905efdd97d
URI
https://hdl.handle.net/20.500.12185/688
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Author(s)
Bandehorst, Jaco
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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
Contact person
Karen Calteaux
Contact person's e-mail address
KCalteaux@csir.co.za
Publisher(s)
Voice Computing (VC) Research Group at the CSIR Nextgen Enterprises and Institutions (NGEI)
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Verification status
Level 0