An Image-To-Speech iPad App

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Author(s): Zhu, Xiaojin; Rosin, Jake; Jun, Kwang-Sung; Dyer, Charles R.; Maynord, Michael; Tiachunpun, Jitrapon
Publisher: University of Wisconsin-Madison Department of Computer Sciences
Citation: TR1774
Date: Jul 26, 2012
Abstract: We describe an iPad app which assists in language acquisition and development. Such an application can be used by clinicians for human developmental disabilities. A user drags images around on the screen. The app generates and speaks random (but sensible) phrases that matches the image interact. For example, if a user drags an image of a squirrel onto an image of a tree, the app may say "the squirrel ran up the tree." A key challenge is the automated creation of "sensible" English phrases, which we solve by using a large corpus and machine learning.
Permanent link: http://digital.library.wisc.edu/1793/61884
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