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Segmentation and Alignment of Speech and Sketching in a Design Environment

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dc.creator Adler, Aaron D.
dc.date 2004-10-20T20:31:48Z
dc.date 2004-10-20T20:31:48Z
dc.date 2003-02-01
dc.date.accessioned 2013-10-09T02:48:22Z
dc.date.available 2013-10-09T02:48:22Z
dc.date.issued 2013-10-09
dc.identifier AITR-2003-004
dc.identifier http://hdl.handle.net/1721.1/7103
dc.identifier.uri http://koha.mediu.edu.my:8181/xmlui/handle/1721
dc.description Sketches are commonly used in the early stages of design. Our previous system allows users to sketch mechanical systems that the computer interprets. However, some parts of the mechanical system might be too hard or too complicated to express in the sketch. Adding speech recognition to create a multimodal system would move us toward our goal of creating a more natural user interface. This thesis examines the relationship between the verbal and sketch input, particularly how to segment and align the two inputs. Toward this end, subjects were recorded while they sketched and talked. These recordings were transcribed, and a set of rules to perform segmentation and alignment was created. These rules represent the knowledge that the computer needs to perform segmentation and alignment. The rules successfully interpreted the 24 data sets that they were given.
dc.format 193 p.
dc.format 34430522 bytes
dc.format 46149955 bytes
dc.format application/postscript
dc.format application/pdf
dc.language en_US
dc.relation AITR-2003-004
dc.subject AI
dc.subject sketch
dc.subject design
dc.subject multimodal
dc.subject disambiguation
dc.subject segmentation
dc.subject alignment
dc.title Segmentation and Alignment of Speech and Sketching in a Design Environment


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