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Patterns of entry and correction in large vocabulary continuous speech recognition systems

Published:01 May 1999Publication History

ABSTRACT

A study was conducted to evaluate user performance and satisfaction in completion of a set of text creation tasks using three commercially available continuous speech recognition systems. The study also compared user performance on similar tasks using keyboard input. One part of the study (Initial Use) involved 24 users who enrolled, received training and carried out practice tasks, and then completed a set of transcription and composition tasks in a single session. In a parallel effort (Extended Use), four researchers used speech recognition to carry out real work tasks over 10 sessions with each of the three speech recognition software products. This paper presents results from the Initial Use phase of the study along with some preliminary results from the Extended Use phase. We present details of the kinds of usability and system design problems likely in current systems and several common patterns of error correction that we found.

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  1. Patterns of entry and correction in large vocabulary continuous speech recognition systems

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        cover image ACM Conferences
        CHI '99: Proceedings of the SIGCHI conference on Human Factors in Computing Systems
        May 1999
        632 pages
        ISBN:0201485591
        DOI:10.1145/302979

        Copyright © 1999 ACM

        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 1 May 1999

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        CHI '99 Paper Acceptance Rate78of312submissions,25%Overall Acceptance Rate6,199of26,314submissions,24%

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