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Using a low-bit rate speech enhancement variable post-filter as a speech recognition system pre-filter to improve robustness to GSM speech

Includes bibliographical references.

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Bibliographic Details
Main Author: Mahlanyane, Nkululeko S
Other Authors: Mashao, D J
Format: Thesis
Language:English
Published: Department of Electrical Engineering 2014
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access_status_str Open Access
author Mahlanyane, Nkululeko S
author2 Mashao, D J
author_browse Mahlanyane, Nkululeko S
Mashao, D J
author_facet Mashao, D J
Mahlanyane, Nkululeko S
author_sort Mahlanyane, Nkululeko S
collection Thesis
description Includes bibliographical references.
format Thesis
id oai:open.uct.ac.za:11427/5176
institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:31:28.055Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2014
publishDateRange 2014
publishDateSort 2014
publisher Department of Electrical Engineering
publisherStr Department of Electrical Engineering
record_format dspace
source_str UCTD — University of Cape Town Open Access Repository
spelling oai:open.uct.ac.za:11427/5176 Using a low-bit rate speech enhancement variable post-filter as a speech recognition system pre-filter to improve robustness to GSM speech Mahlanyane, Nkululeko S Mashao, D J Electrical Engineering Includes bibliographical references. Performance of speech recognition systems degrades when they are used to recognize speech that has been transmitted through GS1 (Global System for Mobile Communications) voice communication channels (GSM speech). This degradation is mainly due to GSM speech coding and GSM channel noise on speech signals transmitted through the network. This poor recognition of GSM channel speech limits the use of speech recognition applications over GSM networks. If speech recognition technology is to be used unlimitedly over GSM networks recognition accuracy of GSM channel speech has to be improved. Different channel normalization techniques have been developed in an attempt to improve recognition accuracy of voice channel modified speech in general (not specifically for GSM channel speech). These techniques can be classified into three broad categories, namely, model modification, signal pre-processing and feature processing techniques. In this work, as a contribution toward improving the robustness of speech recognition systems to GSM speech, the use of a low-bit speech enhancement post-filter as a speech recognition system pre-filter is proposed. This filter is to be used in recognition systems in combination with channel normalization techniques. 2014-07-31T10:55:01Z 2014-07-31T10:55:01Z 2003 Master Thesis Masters MSc http://hdl.handle.net/11427/5176 eng application/pdf Department of Electrical Engineering Faculty of Engineering and the Built Environment University of Cape Town
spellingShingle Electrical Engineering
Mahlanyane, Nkululeko S
Using a low-bit rate speech enhancement variable post-filter as a speech recognition system pre-filter to improve robustness to GSM speech
thesis_degree_str Master's
title Using a low-bit rate speech enhancement variable post-filter as a speech recognition system pre-filter to improve robustness to GSM speech
title_full Using a low-bit rate speech enhancement variable post-filter as a speech recognition system pre-filter to improve robustness to GSM speech
title_fullStr Using a low-bit rate speech enhancement variable post-filter as a speech recognition system pre-filter to improve robustness to GSM speech
title_full_unstemmed Using a low-bit rate speech enhancement variable post-filter as a speech recognition system pre-filter to improve robustness to GSM speech
title_short Using a low-bit rate speech enhancement variable post-filter as a speech recognition system pre-filter to improve robustness to GSM speech
title_sort using a low bit rate speech enhancement variable post filter as a speech recognition system pre filter to improve robustness to gsm speech
topic Electrical Engineering
url http://hdl.handle.net/11427/5176
work_keys_str_mv AT mahlanyanenkululekos usingalowbitratespeechenhancementvariablepostfilterasaspeechrecognitionsystemprefiltertoimproverobustnesstogsmspeech