Author:
Wolfgang Tschirk
Affiliation:
Siemens AG Austria, Speech Recognition Resort, Austria
Keyword(s):
Voice control systems, speech recognition, user interfaces, man-machine interfaces.
Related
Ontology
Subjects/Areas/Topics:
Accessibility to Disabled Users
;
Artificial Intelligence
;
Computer-Supported Education
;
Design Methodology and Cognitive Factors in Design
;
Enterprise Information Systems
;
Human-Computer Interaction
;
Intelligent User Interfaces
;
Machine Perception: Vision, Speech, Other
;
Ubiquitous Learning
Abstract:
A voice control system converts spoken commands into control actions, a process which is always imperfect due to errors of the speech recognizer. Most speech recognition research is focused on decreasing the recognizers’ error rates; comparatively little effort was spent to find interface designs that optimize the overall system, given a fixed speech recognizer performance. In order to evaluate such designs prior to their implementation and test, three components are required: 1) an appropriate set of performance figures of the speech recognizer, 2) suitable performance criteria for the user interface, and 3) a mathematical framework for estimating the interface performance from that of the speech recognizer. In this paper, we will identify four basic interface designs and propose an analytical approach for predicting their respective performance.