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

Publications

1.1K

Citations

100

Authors

46

Institutions

Publications per year

2017–2026

5

Authors

100

  1. RC
    Richard C. Hendriks

    Delft University of Technology, Netherlands

    4 publications · 136 citations

    4

    h-index

  2. CT
    Cees Taal

    Delft University of Technology, Netherlands

    4 publications · 181 citations

    4

    h-index

  3. JB
    João B. Crespo

    Delft University of Technology, Netherlands

    3 publications · 95 citations

    3

    h-index

  4. JJ
    Jesper Jensen

    Aalborg University, Denmark

    2 publications · 64 citations

    2

    h-index

  5. PN
    Petko N. Petkov

    Victoria University of Wellington, New Zealand

    2 publications · 65 citations

    2

    h-index

1–5 of 100

Venues

  1. The Journal of the Acoustical Society of America

    JASA · 4 publications · 117 citations

    4

    h-index

  2. 2

    h-index

  3. International Journal of Audiology

    2 publications · 90 citations

    2

    h-index

  4. IEEE Signal Processing Magazine

    2 publications · 181 citations

    2

    h-index

  5. IEEE Transactions on Image Processing

    1 publications · 21 citations

    1

    h-index

1–5