Speect

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dc.contact.email	lwazi@meraka.csir.co.za
dc.contributor.author	Daniel van Niekerk
dc.contributor.author	Aby Louw
dc.date.accessioned	2018-02-05T20:25:18Z
dc.date.accessioned	2018-03-05T17:48:57Z
dc.date.available	2018-02-05T20:25:18Z
dc.date.available	2018-03-05T17:48:57Z
dc.date.issued	2013-07-15
dc.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.
dc.format.extent	2.7 Mb
dc.identifier.uri	https://hdl.handle.net/20.500.12185/380
dc.language.iso	afr
dc.language.iso	eng
dc.language.iso	nbl
dc.language.iso	xho
dc.language.iso	zul
dc.language.iso	sot
dc.language.iso	nso
dc.language.iso	tsn
dc.language.iso	ssw
dc.language.iso	ven
dc.language.iso	tso
dc.languages	Afrikaans
dc.languages	English
dc.languages	isiNdebele
dc.languages	isiXhosa
dc.languages	isiZulu
dc.languages	Sesotho sa Leboa (Sepedi)
dc.languages	Setswana
dc.languages	Sesotho
dc.languages	Siswati
dc.languages	Tshivenda
dc.languages	Xitsonga
dc.media.category	Speech recognition
dc.media.type	Speech
dc.project	Lwazi
dc.publisher	Meraka Institute, CSIR
dc.rights.license	The MIT License (MIT): http://opensource.org/licenses/MIT
dc.software.requirements	Python
dc.title	Speect
dc.type	Tools
dc.version	1.1.0
local.collection.primary	Resource Catalogue
local.collection.secondary	Resource Index

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Name:: speect-1.1.0.tar.gz
Size:: 3.74 MB
Format:: Hypothetically, if a tarball were an official media type and following conventions, its MIME type would be application/tar (file extension .tar) and its compressed version would be application/tar+gzip (file extensions .tar.gz and .tgz).