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Can I read Third-party Error Detection Support Mechanisms for Dictation Speech Recognition on EtoBox?
Third-party Error Detection Support Mechanisms for Dictation Speech Recognition by Lina Zhou; Yongmei Shi; Andrew Sears is a Computer Science article available to read on EtoBox.
What is Third-party Error Detection Support Mechanisms for Dictation Speech Recognition about?
Although speech recognition has improved significantly in recent years, its adoption continues to be limited, in part, by the effort and frustration associated with correcting speech recognition errors. Error detection is a particularly challenging issue in third-party error correction where different individuals are responsible for the original dictation and correcting the resulting text. This research aims to address the difficulty experienced in third-party error detection by developing and evaluating a variety of support mechanisms. Drawing on a growing body of literature on human computer interaction and speech recognition, four support mechanisms were designed and evaluated, namely indexed audio, speech summarization, error prediction, and the presentation of alternative hypotheses. A user study assessed the impact of these support mechanisms on both performance and perceptions during error detection tasks. Performance measures included effectiveness and efficiency, and perception measures included confidence, perceived usefulness, and cognitive workload. The results provide strong support for the use of indexed audio in the context of third-party error detection. The results
Who reads Third-party Error Detection Support Mechanisms for Dictation Speech Recognition?
It is typically read by researchers, students, and practitioners in Computer Science.
- Author
- Lina Zhou; Yongmei Shi; Andrew Sears
- Publisher
- Elsevier Science; Oxford University Press; Oxford University Press (OUP) (ISSN 0953-5438)
- Published
- 2010
- Language
- EN
- Field
- Computer Science (Physical Sciences)