Katrin Kirchhoff is a research professor of electrical engineering with an adjunct appointment in computer science and engineering at the University of Washington. She is also an academic researcher at Amazon.com. Her research areas include statistical speech and language processing, human-computer interactions, and health informatics, with a particular emphasis on multilingual applications of human language technology.
Kirchhoff completed her PhD thesis, "Robust speech recognition using articulatory information", in 1998 at the University of Washington. Her thesis investigated the benefits of integrating articulatory information into state-of-the-art speech recognizers, either as a genuine alternative to standard acoustic representations or as an additional source of information. She argued and demonstrated that the articulatory feature approach could lead to greater robustness by enhancing the accuracy of the bottom-up acoustic modeling component in a speech recognition system.
Kirchhoff's research focuses on language models and machine translation. She has also contributed to research in computer science, word error rates, and context (language use). She has an h-index of 39 and has co-authored 144 publications, receiving 4,666 citations.
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