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An image-to-speech iPad app
M. Maynord, J. Tiachunpun, X. Zhu, C. R. Dyer, K.-S. Jun, and J. Rosin,
Computer Sciences Department Technical Report 1774, University of Wisconsin - Madison, July 2012.
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.