A system for dynamic 3D visualisation of speech recognition paths

Luz, Saturnino; Masoodian, Masood; Rogers, Bill; Zhang, Bo

doi:10.1145/1385569.1385667

Cited by 2 publications

(2 citation statements)

References 4 publications

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“…2. TRAEDRIS user interface [8]. The system represents the recognition hypotheses as paths in a graph and displays this representation, initially on the foreground.…”

Section: Visualisation and Interactionmentioning

confidence: 99%

Supporting Collaborative Transcription of Recorded Speech with a 3D Game Interface

Luz

Masoodian

Rogers

2010

Knowledge-Based and Intelligent Information and Engineering Systems

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Abstract. 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.

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“…2. TRAEDRIS user interface [8]. The system represents the recognition hypotheses as paths in a graph and displays this representation, initially on the foreground.…”

Section: Visualisation and Interactionmentioning

confidence: 99%

Supporting Collaborative Transcription of Recorded Speech with a 3D Game Interface

Luz

Masoodian

Rogers

2010

Knowledge-Based and Intelligent Information and Engineering Systems

Self Cite

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“…As the technical details of DYTRAED and its implementation are described elsewhere [12], it is sufficient here to mention how it is operated by a human transcriber. When DYTRAED receives its speech audio signal, either from a live speaker or a recorded file, it starts transcribing its input using the speech recogniser engine, which in turn generates the word lattice as part of its recognition process.…”

Section: Propagating User Correctionsmentioning

confidence: 99%

Interactive visualisation techniques for dynamic speech transcription, correction and training

Luz

Masoodian

Rogers

2008

Proceedings of the 9th ACM SIGCHI New Zealand Chapter's International Conference on Human-Computer Interaction: Design Centered

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As 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.

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A system for dynamic 3D visualisation of speech recognition paths

Cited by 2 publications

References 4 publications

Supporting Collaborative Transcription of Recorded Speech with a 3D Game Interface

Supporting Collaborative Transcription of Recorded Speech with a 3D Game Interface

Interactive visualisation techniques for dynamic speech transcription, correction and training

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