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Hype Cycle for Enterprise Speech Technologies, 2004
7 June 2004
 
Steve Cramoysan   Bern Elliot   Jackie Fenn   Alexander Linden  

Speech technologies have benefited many big organizations, especially in contact centers. But there are still improvements to be made to user interfaces, general performance, and the cost of deployment and maintenance.







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Table of Contents



1.0
    
Hype Cycle for Enterprise Speech Technologies, 2004

2.0
    
On the Rise

2.1
    
Unconstrained Natural Language Speech Recognition
2.2
    
Emotion Detection/Affective Computing
2.3
    
Speech-to-Speech Translation
2.4
    
Speech Access to Web Content

3.0
    
At the Peak

3.1
    
Audio Mining
3.2
    
Speech Application Language Tags
3.3
    
Integrated Web and Voice Development Tools
3.4
    
Speech Recognition for Multimodal Mobile Devices

4.0
    
Sliding Into the Trough

4.1
    
Pre-Integrated Speech Modules in Business Applications
4.2
    
Text-to-Speech Domain Tuning
4.3
    
Speaker Verification
4.4
    
Conversational Natural Speech Recognition

5.0
    
Climbing the Slope

5.1
    
VoiceXML
5.2
    
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

Appendix A.
    
Hype Cycle Phase Definitions

Appendix B.
    
Benefit Rating and Maturity Level Definitions

Appendix C.
    
Acronym Key


List of Figures



Figure 1. 
Hype Cycle for Enterprise Speech Technologies, 2004
 

Figure 2. 
Benefit Ratings
 

Figure 3. 
Maturity Levels
 



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Resource Id: 450608