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Abstract
Voice-based applications have become increasingly popular as a means to access data and applications. Advances in the interfaces between digital data and voice have led to the increased use of this technology in accessing traditional personal and business applications. Voice-based applications are those that allow the customer to select menu items or enter entry fields using a normal telephone. This allows the customer to interact with the system through traditional voice communication and familiar telephone keypad, thereby leveraging fundamentals of human communication and increasing ease-of-use and customer satisfaction while decreasing the likelihood of error.
Voice Server, a member of IBM’s WebSphere software family, is a platform that enables the creation of voice applications through industry standards such as VoiceXML and Java. The WebSphere Voice Server facilitates the deployment of voice applications by interfacing with voice standards such as Cisco VoIP, IBM DirectTalk, and Dialogic platforms. It further aids the development of these applications by providing a development toolkit (SDK).
This redbook discusses the functionality of WebSphere Voice Server in the context of real business environments. We introduce the voice environment and the WebSphere Voice Server. We cover in great detail the various operating platforms supported by WVS (Dialogic, Cisco, and DirectTalk - also referred to as WebSphere Voice Response). Additionally, we discuss the SDK and tools available for the development of voice applications. We complete our discussion with a sampling of advanced functionality available to the WebSphere Voice Server such as transcoding.
Table of contents
Part 1. Introduction and overview
Chapter 1. Voice technologies
Chapter 2. WebSphere Voice Server
Part 2. WebSphere Voice Server environments
Chapter 3. Dialogic environment
Chapter 4. Cisco telephony environment
Chapter 5. DirectTalk environment
Part 3. Developing voice applications
Chapter 6. Application development
Chapter 7. Easing VoiceXML development with WebSphere Transcoding Publisher (WTP)
Part 4. Appendixes
Appendix A. DirectTalk for AIX examples
Appendix B. Voice Server language component
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