Lwazi Tshivenda TTS corpus
| Title | Lwazi Tshivenda TTS corpus |
| Description | Orthographic and phonemically aligned transcriptions |
| Contact name | Karen Calteaux |
| Contact email | KCalteaux@csir.co.za |
| Publisher(s) | Meraka Institute, CSIR |
| License | Creative Commons Attribution Non-Commercial No-Derivatives 3.0 South Africa license: http://creativecommons.org/licenses/by-nc-nd/3.0/za |
| Language(s) | Tshivenda |
| Author(s) | Daniel van Niekerk; Etienne Barnard; Marelie Davel; Aby Louw; Alta de Waal |
| Citation | Badenhorst, Jaco, Charl van Heerden, Marelie Davel, and Etienne Barnard. "Collecting and evaluating speech recognition corpora for 11 South African languages." Language resources and evaluation 45, no. 3 (2011): 289-309 - www.meraka.org.za/lwazi/publications/badenhorst09collecting.pdf? |
| URI | https://hdl.handle.net/20.500.12185/289 |
| ISLRN | 047-605-958-484-6 |
| Media type | Speech |
| Type | Data |
| Media category | Monolingual speech corpora: Annotated |
| Format extent | 51Mb (unzipped) |
| Version | 1.2 |
| Format size | 26 mins |
| Format medium | RIFF (Microsoft wav), TXT for orthographic transcriptions (UTF8), Textgrid files for phonemic transcriptions 16 KHz, 16 bits per sample Recording channel: Studio quality (microphone) |
| Project | Lwazi |
| Source | Books; Government Documents; Periodicals; Web |
| Stratum | Phonetically balanced sentences were chosen to ensure adequate phone coverage, from the reference texts |
| Primary collection | Resource Catalogue |
| Secondary collection | Resource Index |
| ISO639 code | ven |
| Submit date | 2018-02-05T20:22:49Z; 2018-03-05T17:45:18Z |
| Date available | 2018-02-05T20:22:49Z; 2018-03-05T17:45:18Z |
| Date created | 2013-03-27 |
Files in this item
This item appears in the following Collection(s)
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Resource Catalogue [350]
A collection of language resources available for download from the RMA of SADiLaR. The collection mostly consists of resources developed with funding from the Department of Arts and Culture. -
Resource Index [412]
A collection of language resource metadata mostly collected during the NHN funded technology audit of 2009, as well as the SADiLaR technology audit of 2018. Not all resources in this collection are available for download.