Speect
| Title | Speect |
| Description | Speect is a multilingual text-to-speech (TTS) system. It offers a full TTS system (text analysis which decodes the text, and speech synthesis, which encodes the speech) with various API’s, as well as an environment for research and development of TTS systems and voices. |
| Contact email | lwazi@meraka.csir.co.za |
| Publisher(s) | Meraka Institute, CSIR |
| License | The MIT License (MIT): http://opensource.org/licenses/MIT |
| Language(s) | Afrikaans; English; isiNdebele; isiXhosa; isiZulu; Sesotho sa Leboa (Sepedi); Setswana; Sesotho; Siswati; Tshivenda; Xitsonga |
| Author(s) | Daniel van Niekerk; Aby Louw |
| URI | https://hdl.handle.net/20.500.12185/380 |
| Media type | Speech |
| Type | Tools |
| Media category | Speech recognition |
| Format extent | 2.7 Mb |
| Version | 1.1.0 |
| Project | Lwazi |
| Software requirements | Python |
| Primary collection | Resource Catalogue |
| Secondary collection | Resource Index |
| ISO639 code | afr; eng; nbl; xho; zul; sot; nso; tsn; ssw; ven; tso |
| Submit date | 2018-02-05T20:25:18Z; 2018-03-05T17:48:57Z |
| Date available | 2018-02-05T20:25:18Z; 2018-03-05T17:48:57Z |
| Date created | 2013-07-15 |
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This item appears in the following Collection(s)
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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.