Lwazi II Proper Name Call Routing Telephone Corpus
| Title | Lwazi II Proper Name Call Routing Telephone Corpus |
| Description | Short prompts of proper names and language names collected via the telephone network. |
| Contact name | Karen Calteaux |
| Contact email | KCalteaux@csir.co.za |
| Publisher(s) | Meraka Institute, CSIR; North-West University |
| License | Creative Commons Attribution 3.0 Unported License (CC BY 3.0): http://creativecommons.org/licenses/by/3.0/ |
| Language(s) | English |
| Author(s) | Charl van Heerden; Bryan McAlister; Neil Kleynhans |
| Contributor | Marelie Davel; Etienne Barnard; Karen Calteaux; Febe de Wet; Daniel van Niekerk; Carmen Moors; Aditi Sharma Grover; Tebogo Reid. |
| Citation | Neil Kleynhans, Raymond Molapo and Febe de Wet, "Acoustic model optimisation for a call routing system", In Proc. Pattern Recognition Association of South Africa annual symposium (PRASA), Pretoria, South Africa, Nov 2012, pp 165-172. |
| URI | https://hdl.handle.net/20.500.12185/448 |
| ISLRN | 662-032-554-154-9 |
| Media type | Speech |
| Type | Data |
| Media category | Monolingual speech corpora: Annotated |
| Format extent | 37.8 Mb (zipped) |
| Version | 1 |
| Format size | 2 hours and 7 minutes |
| Project | Lwazi II |
| Stratum | A total of 2483 prompts with a duration of 2 hours and 7 minutes.The corpus consists of 3 sets of prompts: (1) 925 proper name prompts obtained from about 40 speakers (names_orig, train & test) (2) 555 proper name prompts obtained from about 30 speakers (names) (3) 1003 language name prompts obtained from about 50 speakers (langs) |
| Primary collection | Resource Catalogue |
| Secondary collection | Resource Index |
| ISO639 code | eng |
| Submit date | 2018-02-05T20:21:29Z; 2018-03-05T17:53:33Z |
| Date available | 2018-02-05T20:21:29Z; 2018-03-05T17:53:33Z |
| Date created | 2015-11-20 |
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Resource Catalogue [335]
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 [386]
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.