Alexander G. Hauptmann is an American academic. He currently serves as a research professor in the Language Technologies Institute at the School of Computer Science at
Carnegie Mellon University
Carnegie Mellon University (CMU) is a private research university in Pittsburgh, Pennsylvania. One of its predecessors was established in 1900 by Andrew Carnegie as the Carnegie Technical Schools; it became the Carnegie Institute of Technology ...
. He has been the leader of the
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.Alexander G. Hauptmann (1997)"Artificial Intelligence Techniques in ...
, which has made seminal strides in
multimedia information retrieval
Multimedia information retrieval (MMIR or MIR) is a research discipline of computer science that aims at extracting semantic information from multimedia data sources.H Eidenberger. ''Fundamental Media Understanding'', atpress, 2011, p. 1. Data sour ...
and won best-paper awards at major conferences. He was also a founder of the international advisory committee for the Text Retrieval Conference Video Retrieval Evaluation, also known as TRECVID.
Biography
Hauptmann started at the
Johns Hopkins University
Johns Hopkins University (Johns Hopkins, Hopkins, or JHU) is a private research university in Baltimore, Maryland. Founded in 1876, Johns Hopkins is the oldest research university in the United States and in the western hemisphere. It consiste ...
in 1978 and received a BA and an MA in
psychology
Psychology is the scientific study of mind and behavior. Psychology includes the study of conscious and unconscious phenomena, including feelings and thoughts. It is an academic discipline of immense scope, crossing the boundaries betwe ...
in 1982. For two years, he studied
computer science
Computer science is the study of computation, automation, and information. Computer science spans theoretical disciplines (such as algorithms, theory of computation, information theory, and automation) to practical disciplines (includin ...
at the
Technische Universitaet Berlin. In 1991, he received a PhD in computer science from the
Carnegie Mellon University
Carnegie Mellon University (CMU) is a private research university in Pittsburgh, Pennsylvania. One of its predecessors was established in 1900 by Andrew Carnegie as the Carnegie Technical Schools; it became the Carnegie Institute of Technology ...
(CMU).
From 1984, he was researcher at 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 multimedia analysis and indexing,
speech recognition
Speech recognition is an interdisciplinary subfield of computer science and computational linguistics that develops methodologies and technologies that enable the recognition and translation of spoken language into text by computers with the ma ...
,
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 products. A text-to-speech (TTS) system converts normal languag ...
, speech interfaces, interfaces to multimedia systems and language in general.
Alexander G. Hauptmann
Carnegie Mellon University. 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".[Alex Hauptmann]
Biography 2008
Retrieved 7 June 2008
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".
References
External links
Home page
Informedia Project
{{DEFAULTSORT:Hauptmann, Alex
American non-fiction writers
Living people
Year of birth missing (living people)