Maximum Word Recognition

Maximum Word Recognition is a speech audiometry metric that quantifies the highest percentage of phonemically balanced words a listener can correctly identify under optimal listening conditions, thereby distinguishing it from other speech recognition measures by reflecting upper-limit auditory performance.

14

Publications

974

Citations

60

Authors

33

Institutions

Publications per year

2017–2026

4

Variants

Maximum Word Recognition ScorePb-max

Authors

60

  1. UH
    Ulrich Hoppe

    Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany

    2 publications · 85 citations

    2

    h-index

  2. TR
    Torsten Rahne

    Martin Luther University Halle-Wittenberg, Germany

    2 publications · 112 citations

    2

    h-index

  3. AH
    Anne Hast

    Universitätsklinikum Erlangen, Germany

    2 publications · 85 citations

    2

    h-index

  4. SK
    Stefan K. Plontke

    Martin Luther University Halle-Wittenberg, Germany

    2 publications · 112 citations

    2

    h-index

  5. TH
    Thomas Hocke

    Universitätsklinikum Erlangen, Germany

    2 publications · 85 citations

    2

    h-index

1–5 of 60

Venues

  1. Otology & Neurotology

    3 publications · 145 citations

    3

    h-index

  2. Journal of the American Academy of Audiology

    JAAA · 2 publications · 86 citations

    2

    h-index

  3. The Laryngoscope

    1 publications · 68 citations

    1

    h-index

  4. European Archives of Oto-Rhino-Laryngology

    1 publications · 23 citations

    1

    h-index

  5. Acta Oto-Laryngologica

    1 publications · 11 citations

    1

    h-index

1–5