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An Exploratory Study of Speech Recognition Technology and its Implications for Current Electronic Meeting Support Applic

Introduction. Speech Recognition Systems (SRS) offer many possibilities with their ability to understand voice input and convert that input into text that the computer can understand and process One application where SRS may improve current models is that of Electronic Meeting Support Applications

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An Exploratory Study of Speech Recognition Technology and its Implications for Current Electronic Meeting Support Applic

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    1. An Exploratory Study of Speech Recognition Technology and its Implications for Current Electronic Meeting Support Application Carl M. Rebman Jr. Milam Aiken Brian J. Reithel The University of Mississippi Casey Cegielski Auburn University

    2. Introduction Speech Recognition Systems (SRS) offer many possibilities with their ability to understand voice input and convert that input into text that the computer can understand and process One application where SRS may improve current models is that of Electronic Meeting Support Applications (GSS). This paper reports the results of an exploratory study involving a comparison between a SR-GSS and a keyboard-GSS. Although SR respondents indicated some dissatisfaction with current accuracy and performance levels, most expressed a strong preference for the technology and a willingness to engage in SR technology in the future.

    3. Implications for Future Research The results offer evidence that SR technology is close to matching that of other current traditional methods of human-computer interaction (keyboard). These results provide some insight towards possible obstacles that may prevent successful adoption of SR technology. This study is meant to serve as an initial step in the investigation of large-scale speech recognition use in Group Support Systems.

    4. Background Automated speech recognition technology has been around since the 1950s, but the trade press has only recently begun to focus attention on it because of recent advances in the quality of the software, and personal computers have become fast enough to process speech in real time (Lindquist, 1999, Miatkowski, 1999). There are two major capabilities of speech recognition technology: speech-to-text translation (speech recognition) and text-to speech production (speech synthesis) (Wetzel, 1991). Of the two processes, speech recognition offers more potential applications. SR technology is currently being used in manufacturing, medical, customer service, and military industries.

    5. Speech Recognition Technology Speaker Dependent or Speaker Independent Continuous or Discrete Speech

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