Intelligibility Optimization
Intelligibility Optimization is a methodological framework within dialogue editing that enhances the clarity and comprehensibility of conversational text by systematically refining lexical, syntactic, and pragmatic features to maximize the ease with which intended meanings are perceived and understood by human interlocutors.
29
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1.1K
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100
Authors
46
Institutions
Publications per year
2017–2026
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Tiago H. Falk, Vijay Parsa, João Felipe Santos et al. · IEEE Signal Processing Magazine · 2015 · 138 citations · Full text
Seeing What You Said: Talking Face Generation Guided by a Lip Reading Expert
Jiadong Wang, Xinyuan Qian, Malu Zhang et al. · 2023 · 103 citations
Development of the Russian matrix sentence test
Anna Warzybok, Melanie A. Zokoll, Nina Wardenga et al. · International Journal of Audiology · 2015 · 54 citations
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Delft University of Technology
Delft, The Netherlands
4 h-index
10 publications
356 citations
Oticon Medical (Denmark)
Smorumnedre, Denmark
3 h-index
3 publications
153 citations
Aalborg University
Aalborg, Denmark
2 h-index
2 publications
116 citations

Victoria University of Wellington
Wellington, New Zealand
2 h-index
2 publications
65 citations
University of Colorado Boulder
Boulder, United States
2 h-index
3 publications
296 citations

KTH Royal Institute of Technology
Stockholm, Sweden
2 h-index
4 publications
196 citations
Arizona State University
Tempe, United States
1 h-index
1 publications
14 citations
Carl von Ossietzky Universität Oldenburg
Oldenburg, Germany
1 h-index
3 publications
162 citations
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JASA · 4 publications · 117 citations
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TASLP · 2 publications · 62 citations
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2 publications · 90 citations
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2 publications · 181 citations
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1 publications · 21 citations
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