Feedback strategies for error correction in speech recognition systems
International Journal of Man-Machine Studies
GroupLens: an open architecture for collaborative filtering of netnews
CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
Statistical methods for speech recognition
Statistical methods for speech recognition
Multimodal error correction for speech user interfaces
ACM Transactions on Computer-Human Interaction (TOCHI)
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Proceedings of the 2006 international symposium on Wikis
HLT-NAACL '06 Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics
Soft indexing of speech content for search in spoken documents
Computer Speech and Language
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Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A system for dynamic 3D visualisation of speech recognition paths
AVI '08 Proceedings of the working conference on Advanced visual interfaces
Interface design strategies for computer-assisted speech transcription
Proceedings of the 20th Australasian Conference on Computer-Human Interaction: Designing for Habitus and Habitat
SSCS '09 Proceedings of the third workshop on Searching spontaneous conversational speech
Warping time for more effective real-time crowdsourcing
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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The amount of speech data available on-line and in institutional repositories, including recordings of lectures, "podcasts", news broadcasts etc, has increased greatly in the past few years. Effective access to such data demands transcription. While current automatic speech recognition technology can help with this task, results of automatic transcription alone are often unsatisfactory. Recently, approaches which combine automatic speech recognition and collaborative transcription have been proposed in which geographically distributed users edit and correct automatically generated transcripts. These approaches, however, are based on traditional text-editor interfaces which provide little satisfaction to the users who perform these time-consuming tasks, most often on a voluntarily basis. We present a 3D "transcription game" interface which aims at improving the user experience of the transcription task and, ultimately, creating an extra incentive for users to engage in a process of collaborative transcription in the first place.