Alex Hauptmann
Encyclopedia
Alexander G. Hauptmann is an American Systems Scientist in the School of Computer Science at Carnegie Mellon University
Carnegie Mellon University
Carnegie Mellon University is a private research university in Pittsburgh, Pennsylvania, United States....

. He has been the leader of the Informedia Digital Library
Informedia Digital Library
The Informedia Digital Library is an ongoing research program at Carnegie Mellon University to build search engines and information visualization technology for many types of media...

 which has made seminal strides in multimedia information retrieval
Information retrieval
Information retrieval is the area of study concerned with searching for documents, for information within documents, and for metadata about documents, as well as that of searching structured storage, relational databases, and the World Wide Web...

 and won best paper awards at major conferences. He was also a founder of the international advisory committee for TRECVID
TRECVID
The TRECVID evaluation meetings are on-going series of workshops focusing on a list of different information retrieval research areas in content based retrieval of video. It is co-sponsored by the National Institute of Standards and Technology and the Intelligence Advanced Projects Activity of...

.

Biography

Alex Hauptmann started at the Johns Hopkins University
Johns Hopkins University
The Johns Hopkins University, commonly referred to as Johns Hopkins, JHU, or simply Hopkins, is a private research university based in Baltimore, Maryland, United States...

 in 1978 and received a BA and a MA in Psychology
Psychology
Psychology is the study of the mind and behavior. Its immediate goal is to understand individuals and groups by both establishing general principles and researching specific cases. For many, the ultimate goal of psychology is to benefit society...

 in 1982. For two years he studied Computer Science
Computer science
Computer science or computing science is the study of the theoretical foundations of information and computation and of practical techniques for their implementation and application in computer systems...

 at the Technische Universitaet Berlin. In 1991 he received a PhD in Computer Science from the Carnegie Mellon University
Carnegie Mellon University
Carnegie Mellon University is a private research university in Pittsburgh, Pennsylvania, United States....

.

From 1984 he was researcher at the Carnegie Mellon University in the CMU speech group. The next two years he was a research associate at the School of Computer Science, since 1994 a System Scientist and since 1998 a Senior System Scientist.

In 2003 he received the Allen Newell Award for Research Excellence, for the Informedia Digital Library,
with H. Wactlar, M. Christel, T. Kanade and S. Stevens.

Work

His research interests are in speech recognition
Speech recognition
Speech recognition converts spoken words to text. The term "voice recognition" is sometimes used to refer to recognition systems that must be trained to a particular speaker—as is the case for most desktop recognition software...

, speech synthesis
Speech synthesis
Speech synthesis is the artificial production of human speech. A computer system used for this purpose is called a speech synthesizer, and can be implemented in software or hardware...

, speech interfaces and language in general. According to Hauptmann (2008) "Over the years his research interests have led him to pursue and combine several different areas of research: man-machine communication, natural language processing and speech understanding".

In the area of man-machine communication, According to Hauptmann (2008) "he is interested in the tradeoffs between different modalities,
including gestures and speech, and in the intuitiveness of interaction protocols. In natural language processing, his desire is to break through the bottlenecks that are currently preventing larger scale natural language applications. The latter theme was also the focus of my thesis, which investigated the use of machine learning on large text samples to acquire the knowledge needed for semantic natural language
understanding".

External links

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