David House (email@example.com)
Senior Artificial Intelligence Engineer
The MITRE Corporation
Room S4323, Reston Building (as shown here)
M.S., Computer Science & Engineering, Oregon Graduate Institute, 1995
B.S., Computer Science,
North Carolina State University, 1993
Feel free to send me mail...
Spoken Language Access to Multimedia (
A Multimodal Interface to the World-Wide Web
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.
Postscript versions of an associated
Masters Thesis [197 K] and
Technical Report [95 K] are available.
For the curious, here's a (currently outdated) copy of my
- 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
- D. House, I. Mani, and E. Bloedorn,
"Scalable Text Summarization
for the World Wide Web", Advanced Information Processing and
Analysis Symposium, Washington DC, March 28, 1996
- 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.
- House, David,
"Spoken-Language Access to Multimedia (SLAM): A
Multimodal Interface to the World-Wide Web," Masters Thesis,
Oregon Graduate Institute, Department of Computer Science &
Engineering, April 1995.