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Includes bibliographical references.
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| Format: | Thesis |
| Language: | English |
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Department of Electrical Engineering
2014
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| _version_ | 1867613144214405121 |
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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 |