A Speech recognition-based telephone auto-attendant

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 afte...

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Bibliographic Details
Main Author: Van Leeuwen, Gysbert Floris Van Beek
Other Authors: Prof E C Botha
Published: 2013
Subjects:
Online Access:http://hdl.handle.net/2263/29510
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 >
http://upetd.up.ac.za/thesis/available/etd-11172005-090624/
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spelling ndltd-netd.ac.za-oai-union.ndltd.org-up-oai-repository.up.ac.za-2263-295102017-07-20T04:11:43Z A Speech recognition-based telephone auto-attendant Van Leeuwen, Gysbert Floris Van Beek Prof E C Botha upetd@up.ac.za Telephone answering services automation Automatic speech recognition UCTD 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. Dissertation (MEng (Computer Engineering))--University of Pretoria, 2006. 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 http://hdl.handle.net/2263/29510 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://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.
collection NDLTD
sources NDLTD
topic Telephone answering services automation
Automatic speech recognition
UCTD
spellingShingle Telephone answering services automation
Automatic speech recognition
UCTD
Van Leeuwen, Gysbert Floris Van Beek
A Speech recognition-based telephone auto-attendant
description 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. === Dissertation (MEng (Computer Engineering))--University of Pretoria, 2006. === Electrical, Electronic and Computer Engineering === unrestricted
author2 Prof E C Botha
author_facet Prof E C Botha
Van Leeuwen, Gysbert Floris Van Beek
author Van Leeuwen, Gysbert Floris Van Beek
author_sort Van Leeuwen, Gysbert Floris Van Beek
title A Speech recognition-based telephone auto-attendant
title_short 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_sort speech recognition-based telephone auto-attendant
publishDate 2013
url http://hdl.handle.net/2263/29510
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 >
http://upetd.up.ac.za/thesis/available/etd-11172005-090624/
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