Broad Area Colloquium For AI-Geometry-Graphics-Robotics-Vision
(CS 528)

Microsoft Research: Bridging the Analog and Digital Worlds

Jack Breese
Microsoft Research Redmond
Monday, May 10, 2004, 4:15PM
TCSeq 200


Increasingly computers are being used in applications where voice, audio, and scanned images are important data types. In this talk I will describe a series of projects at Microsoft Research that address gaining structured information from these real world (analog) signal sources. Speech recognition is a classic signal interpretation problem, and we will describe recent research in microphones and sensors for robust recognition. Next, we will discuss audio fingerprinting, a technique for recognizing songs in online streams or on a PC that can be used in a variety of personal entertainment scenarios. Finally, we will discuss issues in document interpretation: extraction of structural, semantic information from scanned documents such as faxes or printed documents. All these projects require a combination of signal processing/machine learning techniques and large datasets; we will discuss the associated methodological challenges and practical applications.

About the Speaker

Jack Breese is a Director of Microsoft Research in Redmond, WA, where he oversees work on intelligent systems including data management, machine learning, communications, collaboration, natural language processing, communities, document understanding, and adaptive systems. Previously he was a founding member of the Decision Theory and Adaptive Systems research group at Microsoft Research, where he developed basic technologies and tools for user modeling, intelligent diagnostics, adaptive systems, recommender systems, e-ecommerce, and datamining. Breese received a doctorate from Stanford University in 1987 in Engineering-Economic Systems (now Management Science and Engineering) and joined Microsoft Research in 1993.


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