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dc.contributor.authorLuz, Saturnino
dc.contributor.authorMasoodian, Masood
dc.contributor.authorRogers, Bill
dc.coverage.spatialConference held at Wellington, New Zealanden_NZ
dc.identifier.citationLuz, S., Masoodian, M., & Rogers, B. (2008). Interactive visualisation techniques for dynamic speech transcription, correction and training. In Proceedings of the 9th ACM SIGCHI New Zealand Chapter's International Conference on Human-Computer Interaction: Design Centered HCI (pp. 9-16). New York, USA: ACM.en_NZ
dc.description.abstractAs performance gains in automatic speech recognition systems plateau, improvements to existing applications of speech recognition technology seem more likely to come from better user interface design than from further progress in core recognition components. Among all applications of speech recognition, the usability of systems for transcription of spontaneous speech is particularly sensitive to high word error rates. This paper presents a series of approaches to improving the usability of such applications. We propose new mechanisms for error correction, use of contextual information, and use of 3D visualisation techniques to improve user interaction with a recogniser and maximise the impact of user feedback. These proposals are illustrated through several prototypes which target tasks such as: off-line transcript editing, dynamic transcript editing, and real-time visualisation of recognition paths. An evaluation of our dynamic transcript editing system demonstrates the gains that can be made by adding the corrected words to the recogniser's dictionary and then propagating the user's corrections.en_NZ
dc.relation.ispartofProceedings of the 9th ACM SIGCHI New Zealand Chapter's International Conference on Human-Computer Interaction Design Centered HCI - CHINZ '08
dc.subjectcomputer scienceen_NZ
dc.subjectautomatic speech transcriptionen_NZ
dc.subjectspeech recogniser trainingen_NZ
dc.subjectspeech recogniser trainingen_NZ
dc.titleInteractive visualisation techniques for dynamic speech transcription, correction and trainingen_NZ
dc.typeConference Contributionen_NZ
dc.relation.isPartOfProc Ninth Annual ACM SIGCHI-NZ Conference on Human-Computer Interactionen_NZ

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