Disfluency Handling

Disfluency Handling is a speech processing technique that identifies and manages non-grammatical or non-continuous elements in spoken language, such as false starts, repetitions, and filler words, to improve the accuracy and fluency of automatic speech recognition systems.

23

Publications

693

Citations

59

Authors

19

Institutions

Publications per year

2017–2026

2

Authors

59

  1. MJ
    Mark Johnson

    Brown University, United States

    3 publications · 162 citations

    3

    h-index

  2. JH
    Julian Hough

    Bielefeld University, Germany

    2 publications · 31 citations

    2

    h-index

  3. TS
    Tanja Schultz

    Carnegie Mellon University, United States

    2 publications · 54 citations

    2

    h-index

  4. CB
    Claude Barras

    Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur, France

    1 publications · 18 citations

    1

    h-index

  5. JS
    J. Scott Yaruss

    University of Pittsburgh, United States

    1 publications · 11 citations

    1

    h-index

1–5 of 59

Venues

  1. Cognitive Science

    2 publications · 88 citations

    2

    h-index

  2. International Journal of Corpus Linguistics

    IJCL · 1 publications · 52 citations

    1

    h-index

  3. 1

    h-index

  4. Speech Communication

    1 publications · 37 citations

    1

    h-index

  5. Journal of Fluency Disorders

    1 publications · 22 citations

    1

    h-index

1–5