Research Repository

Telephony applications using Microsoft Speech Server

Shi, Hao and Auer, Sebastian (2006) Telephony applications using Microsoft Speech Server. International Journal of Computer Science and Network Security, 6 (8A). pp.75 to 78. ISSN 1738-7906

[img] Text
200608A13.pdf

Download (600kB)

Abstract

Many people call support hotlines every day as they need assistance with products provided by companies or they just want to check their account balance. The calls like this quite often placed in a queue for a long time before it is answered. It frustrates both the users and the company. In many cases this kind of calls should be automatically answered and support staff is only required if the call cannot be processed by the system. This helps people to get their information faster and also reduces the significant amount to companies. The waiting times will be much shorter and therefore will be less frustrated. However, the existing telephony technologies are very experience and small to medium companies cannot afford. Microsoft has built its Speech Server which can give these companies a chance to create a low cost telephony interface for their existing websites. This project aims to build a simple application which demonstrates what the latest Microsoft Speech Server can offer and how it can interact with the user by converting text to speech and by recognizing the users voice and react to user's input. In this paper, the detail requirements, step-by-step design and implement are addressed and a fully working telephony application is presented.

Item Type: Article
Additional Information:

http://www.ijcsns.org/04_journal/200608/200608A13.pdf

Uncontrolled Keywords: Telephony applications, Microsoft Speech Server, eCommerce
Subjects: Faculty/School/Research Centre/Department > School of Engineering and Science
RFCD Classification > 280000 Information, Computing and Communication Sciences
Depositing User: Dr. Hao Shi
Date Deposited: 23 Aug 2007
Last Modified: 24 May 2013 04:11
URI: http://vuir.vu.edu.au/id/eprint/506
DOI: 9771738790600
ePrint Statistics: View download statistics for this item

Repository staff only

View Item View Item

Search Google Scholar