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A Speech recognition-based telephone auto-attendant
Dissertation (MEng (Computer Engineering))--University of Pretoria, 2006.
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| Format: | Thesis |
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University of Pretoria
2013
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| _version_ | 1867613685936029696 |
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| access_status_str | Open Access |
| author2 | Botha, Elizabeth C. |
| author_browse | Botha, Elizabeth C. |
| author_facet | Botha, Elizabeth C. |
| collection | Thesis |
| dc_rights_str_mv | © 2001, University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. |
| description | Dissertation (MEng (Computer Engineering))--University of Pretoria, 2006. |
| format | Thesis |
| id | oai:repository.up.ac.za:2263/29510 |
| institution | University of Pretoria (South Africa) |
| last_indexed | 2026-06-10T12:40:04.964Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository |
| publishDate | 2013 |
| publishDateRange | 2013 |
| publishDateSort | 2013 |
| publisher | University of Pretoria |
| publisherStr | University of Pretoria |
| record_format | dspace |
| source_str | UPSpace — University of Pretoria Institutional Repository |
| spelling | oai:repository.up.ac.za:2263/29510 A Speech recognition-based telephone auto-attendant Botha, Elizabeth C. upetd@up.ac.za Van Leeuwen, Gysbert Floris Van Beek Telephone answering services automation Automatic speech recognition UCTD Dissertation (MEng (Computer Engineering))--University of Pretoria, 2006. This dissertation details the implementation of a real-time, speaker-independent telephone auto attendant from first principles on limited quality speech data. An auto attendant is a computerized agent that answers the phone and switches the caller through to the desired person's extension after conducting a limited dialogue to determine the wishes of the caller, through the use of speech recognition technology. The platform is a computer with a telephone interface card. The speech recognition engine uses whole word hidden Markov modelling, with limited vocabulary and constrained (finite state) grammar. The feature set used is based on Mel frequency spaced cepstral coefficients. The Viterbi search is used together with the level building algorithm to recognise speech within the utterances. Word-spotting techniques including a "garbage" model, are used. Various techniques compensating for noise and a varying channel transfer function are employed to improve the recognition rate. An Afrikaans conversational interface prompts the caller for information. Detailed experiments illustrate the dependence and sensitivity of the system on its parameters, and show the influence of several techniques aimed at improving the recognition rate. Electrical, Electronic and Computer Engineering unrestricted 2013-09-07T15:48:53Z 2005-11-21 2013-09-07T15:48:53Z 2002-04-01 2006-11-21 2005-11-17 Dissertation Van Leeuwen, GFvB 2001, A speech recognition-based telephone auto-attendant, MEng dissertation, University of Pretoria, Pretoria, viewed yymmdd < http://hdl.handle.net/2263/29510 > H549/ag http://hdl.handle.net/2263/29510 http://upetd.up.ac.za/thesis/available/etd-11172005-090624/ © 2001, University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf University of Pretoria |
| spellingShingle | Telephone answering services automation Automatic speech recognition UCTD A Speech recognition-based telephone auto-attendant |
| title | A Speech recognition-based telephone auto-attendant |
| title_full | A Speech recognition-based telephone auto-attendant |
| title_fullStr | A Speech recognition-based telephone auto-attendant |
| title_full_unstemmed | A Speech recognition-based telephone auto-attendant |
| title_short | A Speech recognition-based telephone auto-attendant |
| title_sort | speech recognition based telephone auto attendant |
| topic | Telephone answering services automation Automatic speech recognition UCTD |
| url | http://hdl.handle.net/2263/29510 http://upetd.up.ac.za/thesis/available/etd-11172005-090624/ |