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Automatic alignment and error detection for phonetic transcriptions in the African speech technology project databases

Thesis (MScEng (Electrical and Electronic Engineering))--University of Stellenbosch, 2006.

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Bibliographic Details
Main Author: De Villiers, Edward
Other Authors: Du Preez, J. A.
Format: Thesis
Published: Stellenbosch : University of Stellenbosch 2006
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access_status_str Open Access
author De Villiers, Edward
author2 Du Preez, J. A.
author_browse De Villiers, Edward
Du Preez, J. A.
author_facet Du Preez, J. A.
De Villiers, Edward
author_sort De Villiers, Edward
collection Thesis
dc_rights_str_mv University of Stellenbosch
description Thesis (MScEng (Electrical and Electronic Engineering))--University of Stellenbosch, 2006.
format Thesis
id oai:scholar.sun.ac.za:10019.1/2311
institution Stellenbosch University (South Africa)
last_indexed 2026-06-10T12:46:13.197Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from SUNScholar — Stellenbosch University Repository
publishDate 2006
publishDateRange 2006
publishDateSort 2006
publisher Stellenbosch : University of Stellenbosch
publisherStr Stellenbosch : University of Stellenbosch
record_format dspace
source_str SUNScholar — Stellenbosch University Repository
spelling oai:scholar.sun.ac.za:10019.1/2311 Automatic alignment and error detection for phonetic transcriptions in the African speech technology project databases De Villiers, Edward Du Preez, J. A. University of Stellenbosch. Faculty of Engineering. Dept. of Electrical and Electronic Engineering. Automatic speech recognition Speech processing systems Dissertations -- Electronic engineering Theses -- Electronic engineering Electrical and Electronic Engineering Thesis (MScEng (Electrical and Electronic Engineering))--University of Stellenbosch, 2006. The African Speech Technology (AST) project ran from 2000 to 2004 and involved collecting speech data for five South African languages, transcribing the data and building automatic speech recognition systems in these languages. The work described here form part of this project and involved implementing methods for automatic boundary placement in manually labelled files and for determining errors made by transcribers during the labelling process. 2006-11-09T06:24:08Z 2010-06-01T08:45:48Z 2006-11-09T06:24:08Z 2010-06-01T08:45:48Z 2006-03 Thesis http://hdl.handle.net/10019.1/2311 University of Stellenbosch 1399476 bytes application/pdf application/pdf Stellenbosch : University of Stellenbosch
spellingShingle Automatic speech recognition
Speech processing systems
Dissertations -- Electronic engineering
Theses -- Electronic engineering
Electrical and Electronic Engineering
De Villiers, Edward
Automatic alignment and error detection for phonetic transcriptions in the African speech technology project databases
title Automatic alignment and error detection for phonetic transcriptions in the African speech technology project databases
title_full Automatic alignment and error detection for phonetic transcriptions in the African speech technology project databases
title_fullStr Automatic alignment and error detection for phonetic transcriptions in the African speech technology project databases
title_full_unstemmed Automatic alignment and error detection for phonetic transcriptions in the African speech technology project databases
title_short Automatic alignment and error detection for phonetic transcriptions in the African speech technology project databases
title_sort automatic alignment and error detection for phonetic transcriptions in the african speech technology project databases
topic Automatic speech recognition
Speech processing systems
Dissertations -- Electronic engineering
Theses -- Electronic engineering
Electrical and Electronic Engineering
url http://hdl.handle.net/10019.1/2311
work_keys_str_mv AT devilliersedward automaticalignmentanderrordetectionforphonetictranscriptionsintheafricanspeechtechnologyprojectdatabases