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USB telephony interface device for speech recognition applications

Thesis (MScEng (Electrical and Electronic Engineering))--University of Stellenbosch, 2005.

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Bibliographic Details
Main Author: Muller, J. J.
Other Authors: Niesler, T. R.
Format: Thesis
Language:English
Published: Stellenbosch : University of Stellenbosch 2008
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access_status_str Open Access
author Muller, J. J.
author2 Niesler, T. R.
author_browse Muller, J. J.
Niesler, T. R.
author_facet Niesler, T. R.
Muller, J. J.
author_sort Muller, J. J.
collection Thesis
dc_rights_str_mv University of Stellenbosch
description Thesis (MScEng (Electrical and Electronic Engineering))--University of Stellenbosch, 2005.
format Thesis
id oai:scholar.sun.ac.za:10019.1/2757
institution Stellenbosch University (South Africa)
language English
last_indexed 2026-06-10T12:42:21.587Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from SUNScholar — Stellenbosch University Repository
publishDate 2008
publishDateRange 2008
publishDateSort 2008
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:10019.1/2757 USB telephony interface device for speech recognition applications Muller, J. J. Niesler, T. R. University of Stellenbosch. Faculty of Engineering. Dept. of Electrical and Electronic Engineering. Dissertations -- Electronic engineering Theses -- Electronic engineering Telephone systems Speech processing systems Automatic speech recognition Electrical and Electronic Engineering Thesis (MScEng (Electrical and Electronic Engineering))--University of Stellenbosch, 2005. Automatic speech recognition (ASR) systems are an attractive means for companies to deliver value added services with which to improve customer satisfaction. Such ASR systems require a telephony interface to connect the speech recognition application to the telephone system. Commercially available telephony interfaces are usually operating system specific, and therefore hardware device driver issues complicate the development of software applications for different platforms that require telephony access. The drivers and application programming interface (API) for telephony interfaces are often available only for the Microsoft Windows operating systems. This poses a problem, as many of the software tools used for speech recognition research and development operate only on Linux-based computers. These interfaces are also typically in PCI/ISA card format, which hinders physical portability of the device to another computer. A simple, cheaper and easier to use USB telephony interface device, offering cross-platform portability, was developed and presented, together with the necessary API. 2008-07-22T10:29:52Z 2010-06-01T08:57:33Z 2008-07-22T10:29:52Z 2010-06-01T08:57:33Z 2005-12 Thesis http://hdl.handle.net/10019.1/2757 en University of Stellenbosch application/pdf Stellenbosch : University of Stellenbosch
spellingShingle Dissertations -- Electronic engineering
Theses -- Electronic engineering
Telephone systems
Speech processing systems
Automatic speech recognition
Electrical and Electronic Engineering
Muller, J. J.
USB telephony interface device for speech recognition applications
title USB telephony interface device for speech recognition applications
title_full USB telephony interface device for speech recognition applications
title_fullStr USB telephony interface device for speech recognition applications
title_full_unstemmed USB telephony interface device for speech recognition applications
title_short USB telephony interface device for speech recognition applications
title_sort usb telephony interface device for speech recognition applications
topic Dissertations -- Electronic engineering
Theses -- Electronic engineering
Telephone systems
Speech processing systems
Automatic speech recognition
Electrical and Electronic Engineering
url http://hdl.handle.net/10019.1/2757
work_keys_str_mv AT mullerjj usbtelephonyinterfacedeviceforspeechrecognitionapplications