A Deep Dive Into Speech Application Development, Management And Testing (Technology Focus)
| Publication Date | September 2007 |
|---|---|
| Publisher | Datamonitor |
| Product Type | Brief |
| Pages | 10 |
| ISBN Number | not applicable |
| Product Code | DAT07277 |
Summary
Introduction
When it comes to speech, organizations are no longer limited by technology barriers but by business requirements. The value proposition for speech has increased substantially over the years, primarily due to its success in the contact center. With the emergence of non-traditional speech applications, speech technology will further penetrate the enterprise and service provider markets.
Scope
- Classification of tool vendors in the marketplace.
- Discussion of standard features and differentiating features among toolsets in the market.
Highlights
The majority of speech tools come with a dialog / call flow editor and have design features that include: grammar, prompt and offline development. Standard testing and monitoring capabilities include dialog, advanced speech recognition (ASR) / grammar, logging and runtime analysis.
Speech solutions are slowly being viewed as an extension of enterprise software infrastructure and therefore businesses will increasingly look to leverage common software, programming skills and existing code assets fully in order to reach a favorable IT labor ratio and economies of scale.
Reasons to Purchase
- Understand how to differentiate tool offerings in a maturing market.
- Learn of the increasing importance of analytics for speech applications as it relates to business intelligence.
BMC Software, Inc. , Hewlett-Packard Company , Microsoft Corporation , Rudolph Technologies, Inc.
Content
- Catalyst
- Summary
- Analysis
- Stronger analytical capabilities will enable businesses to aggregate specific data and knowledge for intelligent queries that improve critical business decision making
- Analytics in the voice channel becomes a part of the bigger BI picture
- Integration of speech and web tools will simplify development processes as it enables businesses to author web and speech applications in a single development environment
- Application portability will provide long-term investment protection of speech assets across multiple deployment environments
- Utilizing speech application development tools as the abstraction layer
- Actions
- Appendix
- Definitions
- ASR (automatic speech recognition)
- Dual tone multi-frequency (DTMF)
- Interactive voice response (IVR)
- Platform
- Voice-XML
- Methodology
- Further reading
- Ask the analyst
- Datamonitor consulting
- Disclaimer
- List of Figures
- Figure 1: Speech application lifecycle
- Figure 2: Standard features vs differentiators of speech application development tools
- Figure 3: Leveraging web architecture in the voice channel
About this Product
Delivery Details
PDF:Delivered by email usually within 4 to 8 UK business hours.
PRINT/CD-ROM:Despatched within 1 to 2 working days.
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