Name
Abstract | ||
|---|---|---|
This paper describes the development of text-to-speech corpora for four South African languages. The approach followed investigated the possibility of using low-cost methods including informal recording environments and untrained volunteer speakers. This objective and the additional future goal of expanding the corpus to increase coverage of South Africa's 11 official languages necessitated experimenting with multi-speaker and code-switched data. The process and relevant observations are detailed throughout. The latest version of the corpora are available for download under an open-source licence and will likely sec further development and refinement in future. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.21437/Interspeech.2017-1139 | 18TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION (INTERSPEECH 2017), VOLS 1-6: SITUATED INTERACTION |
Keywords | Field | DocType |
text-to-speech corpus, under-resourced languages | Computer science,Speech recognition,Languages of Africa,Linguistics | Conference |
ISSN | Citations | PageRank |
2308-457X | 0 | 0.34 |
References | Authors | |
10 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Daniel R. van Niekerk | 1 | 18 | 4.69 |
| Charl Johannes van Heerden | 2 | 133 | 12.50 |
| Marelie H. Davel | 3 | 236 | 22.70 |
| Neil Taylor Kleynhans | 4 | 0 | 0.68 |
| Oddur Kjartansson | 5 | 6 | 4.89 |
| Martin Jansche | 6 | 257 | 23.92 |
| Linne Ha | 7 | 5 | 3.19 |