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Hype Cycle for Enterprise Speech Technologies, 2005
24 June 2005
 
Steve Cramoysan   Jackie Fenn   Bern Elliot  

These technologies have proven effective in big call centers for things like call routing and ticketing. But to be used widely for many other functions, they must be made simpler and cheaper to build, deploy and maintain.




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Pages: 14






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Table of Contents


1.0
    
 The Hype Cycle

2.0
    
 On the Rise

2.1
    
 Speech-to-Speech Translation
2.2
    
 Truth Verification
2.3
    
 Speech Access to Web Content
2.4
    
 Speech-Enabled Multimodal Applications

3.0
    
 At the Peak

3.1
    
 Speech Recognition for Mobile Devices
3.2
    
 Secret Agents
3.3
    
 Audio Mining/Speech Analytics
3.4
    
 Speech Application Language Tags

4.0
    
 Sliding Into the Trough

4.1
    
 Integrated Web and Voice Development Tools
4.2
    
 Packaged Speech Applications and Components
4.3
    
 Pre-Integrated Speech Modules in Business Applications
4.4
    
 Rapid Application Development and Life Cycle Management Tools
4.5
    
 Voice Verification
4.6
    
 Hosted Speech Recognition

5.0
    
 Climbing the Slope

5.1
    
 Natural Language Speech Recognition
5.2
    
 VoiceXML
5.3
    
 Speech Recognition for Telephony and Call Center
5.4
    
 Auto-Attendant Directory Assistance Call Routing

6.0
    
 Entering the Plateau

6.1
    
 Barge-In
6.2
    
 Directed Dialogue
6.3
    
 Text-to-Speech/Speech Synthesis

7.0
    
 Conclusions

8.0
    
 Appendix A: Previous Iteration of the Hype Cycle

9.0
    
 Appendix B: Hype Cycle Phases, Benefit Ratings and Maturity Levels


List of Tables


Table 1.  
 Hype Cycle Phases
 

Table 2.  
 Benefit Ratings
 

Table 3.  
 Maturity Levels
 

List of Figures


Figure 1. 
 Hype Cycle for Enterprise Speech Technologies, 2005
 

Figure 2. 
 Hype Cycle for Enterprise Speech Technologies, 2004
 



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Desktop Speech Recognition
Telephony Speech Recognition




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Resource Id: 482047