Alex Hauptmann

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Alexander G. Hauptmann is a Research Professor in the Language Technologies Institute at the Carnegie Mellon University School of Computer Science. He has been the leader of the Informedia Digital Library which has made seminal strides in multimedia information retrieval and won best paper awards at major conferences. He was also a founder of the international advisory committee for TRECVID.

Carnegie Mellon University private research university in Pittsburgh, Pennsylvania, United States

Carnegie Mellon University (CMU) is a private research university based in Pittsburgh, Pennsylvania. Founded in 1900 by Andrew Carnegie as the Carnegie Technical Schools, the university became the Carnegie Institute of Technology in 1912 and began granting four-year degrees. In 1967, the Carnegie Institute of Technology merged with the Mellon Institute of Industrial Research to form Carnegie Mellon University. With its main campus located 3 miles (5 km) from Downtown Pittsburgh, Carnegie Mellon has grown into an international university with over a dozen degree-granting locations in six continents, including campuses in Qatar and Silicon Valley, and more than 20 research partnerships.

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.

Multimedia information retrieval is a research discipline of computer science that aims at extracting semantic information from multimedia data sources. Data sources include directly perceivable media such as audio, image and video, indirectly perceivable sources such as text, semantic descriptions, biosignals as well as not perceivable sources such as bioinformation, stock prices, etc. The methodology of MMIR can be organized in three groups:

  1. Methods for the summarization of media content. The result of feature extraction is a description.
  2. Methods for the filtering of media descriptions
  3. Methods for the categorization of media descriptions into classes.

Contents

Biography

Alex Hauptmann started at the Johns Hopkins University in 1978 and received a BA and an MA in Psychology in 1982. For two years he studied Computer Science at the Technische Universitaet Berlin. In 1991 he received a PhD in Computer Science from the Carnegie Mellon University.

Johns Hopkins University Private research university in Baltimore, Maryland

Johns Hopkins University is a private research university in Baltimore, Maryland. Founded in 1876, the university was named for its first benefactor, the American entrepreneur, abolitionist, and philanthropist Johns Hopkins. His $7 million bequest —of which half financed the establishment of Johns Hopkins Hospital—was the largest philanthropic gift in the history of the United States up to that time. Daniel Coit Gilman, who was inaugurated as the institution's first president on February 22, 1876, led the university to revolutionize higher education in the U.S. by integrating teaching and research. Adopting the concept of a graduate school from Germany's ancient Heidelberg University, Johns Hopkins University is considered the first research university in the United States. Over the course of several decades, the university has led all U.S. universities in annual research and development expenditures. In fiscal year 2016, Johns Hopkins spent nearly $2.5 billion on research.

Psychology is the science of behavior and mind. Psychology includes the study of conscious and unconscious phenomena, as well as feeling and thought. It is an academic discipline of immense scope. Psychologists seek an understanding of the emergent properties of brains, and all the variety of phenomena linked to those emergent properties, joining this way the broader neuroscientific group of researchers. As a social science it aims to understand individuals and groups by establishing general principles and researching specific cases.

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 multimedia analysis and indexing, speech recognition, speech synthesis, speech interfaces, interfaces to multimedia systems and language in general. [1] 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". [2]

Speech recognition is a interdisciplinary subfield of computational linguistics that develops methodologies and technologies that enables the recognition and translation of spoken language into text by computers. It is also known as automatic speech recognition (ASR), computer speech recognition or speech to text (STT). It incorporates knowledge and research in the linguistics, computer science, and electrical engineering fields.

Speech synthesis is the artificial production of human speech. A computer system used for this purpose is called a speech computer or speech synthesizer, and can be implemented in software or hardware products. A text-to-speech (TTS) system converts normal language text into speech; other systems render symbolic linguistic representations like phonetic transcriptions into speech.

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". [2]

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References

  1. Alexander G. Hauptmann Carnegie Mellon University.
  2. 1 2 Alex Hauptmann. Biography 2008. Retrieved 7 June 2008