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Using term clouds to represent segment-level semantic content of podcasts

Fuller, Marguerite and Tsagkias, Manos and Newman, Eamonn and Besser, Jana and Larson, Martha and Jones, Gareth J.F. and de Rijke, Maarten (2008) Using term clouds to represent segment-level semantic content of podcasts. In: the Workshop on Searching Spontaneous Conversational Speech at Thirty-First Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2008), 24 July 2008, Singapore.

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Spoken audio, like any time-continuous medium, is notoriously difficult to browse or skim without support of an interface providing semantically annotated jump points to signal the user where to listen in. Creation of time-aligned metadata by human annotators is prohibitively expensive, motivating the investigation of representations of segment-level semantic content based on transcripts generated by automatic speech recognition (ASR). This paper examines the feasibility of using term clouds to provide users with a structured representation of the semantic content of podcast episodes. Podcast episodes are visualized as a series of sub-episode segments, each represented by a term cloud derived from a transcript generated by automatic speech recognition (ASR). Quality of segment-level term clouds is measured quantitatively and their utility is investigated using a small-scale user study based on human labeled segment boundaries. Since the segment-level clouds generated from ASR-transcripts prove useful, we examine an adaptation of text tiling techniques to speech in order to be able to generate segments as part of a completely automated indexing and structuring system for browsing of spoken audio. Results demonstrate that the segments generated are comparable with human selected segment boundaries.

Item Type:Conference or Workshop Item (Paper)
Event Type:Workshop
Uncontrolled Keywords:Speech browsing; term clouds; TextTiling
Subjects:Computer Science > Information technology
DCU Faculties and Centres:Research Initiatives and Centres > Centre for Digital Video Processing (CDVP)
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:16190
Deposited On:05 Aug 2011 13:52 by Shane Harper. Last Modified 03 Mar 2017 13:16

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