Spoken Language Access to Multimedia (SLAM) is a spoken
language extension to the graphical user interface of the World-Wide
Web browser Mosaic. SLAM uses the complementary modalities of spoken
language and direct manipulation to improve the interface to the vast
variety of information available on the Internet. To make the
advantages of spoken language systems available to a wider audience,
the speech recognition aspects can be performed remotely across a
network. SLAM is believed to be the first spoken-language interface to
the World-Wide Web to be easily implemented across platforms.
For the curious, here's a (currently outdated) copy of my
resume.
Publications/Presentations
I. Mani, D. House, M. Maybury, and M. Green, "Towards
Content-Based Browsing of Broadcast News Video", in M. Maybury,
ed., Intelligent Multimedia Information Retrieval, AAAI Press, to
appear
David G. Novick, David House, Mark Fanty and Ronald A. Cole,
"A Multimodal Browser for the World-Wide Web,", Technical Report,
Center for Spoken Language Understanding, Oregon Graduate
Institute, June 1995.