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CSIR SAMA Speech Corpus Manual Datasets
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Date
2023-12
Authors
Badenhorst, Jaco
Mak, Franco
Journal Title
Journal ISSN
Volume Title
Publisher
Voice Computing (VC) Research Group at the CSIR Nextgen Enterprises and Institutions (NGEI)
SADiLaR
SADiLaR
Abstract
Description
The evaluation corpus contains orthographically transcribed broadband speech in Afrikaans, isiXhosa, isiZulu, Sepedi, Sesotho, Tshivenḓa all part of South Africa’s eleven official written languages. The audio was harvested as MP3 podcasts and automatically segmented and transcribed. Segment transcriptions are provided in XML format.
Afrikaans
• News-20:04:15-Bulletins:377
• Drama-12:35:47-Episodes: 351
Sepedi
• Drama-10:25:16-Episodes: 321
Sesotho
• News-14:49:11-Bulletins:326
• Drama-10:01:17-Episodes: 200
isiXhosa
• News-14:57:20-Bulletins: 325
• Drama-09:41:42-Episodes: 190
isiZulu
• News-15:55:14-Bulletins:349
• Drama-07:58:10-Episodes: 124
Tshivenḓa
• Drama-12:32:29-Episodes: 275
Afrikaans
• News-20:04:15-Bulletins:377
• Drama-12:35:47-Episodes: 351
Sepedi
• Drama-10:25:16-Episodes: 321
Sesotho
• News-14:49:11-Bulletins:326
• Drama-10:01:17-Episodes: 200
isiXhosa
• News-14:57:20-Bulletins: 325
• Drama-09:41:42-Episodes: 190
isiZulu
• News-15:55:14-Bulletins:349
• Drama-07:58:10-Episodes: 124
Tshivenḓa
• Drama-12:32:29-Episodes: 275
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