Perceptual Tuning

Perceptual Tuning is a speech processor programming method that systematically adjusts acoustic parameters of speech sound production to optimize intelligibility and naturalness based on human perceptual feedback.

50

Publications

3.3K

Citations

119

Authors

76

Institutions

Publications per year

2017–2026

5

Authors

119

  1. NL
    Nilli Lavie

    University College London, United Kingdom

    2 publications · 293 citations

    2

    h-index

  2. JF
    Jessica F. Cantlon

    University of Rochester, United States

    2 publications · 113 citations

    2

    h-index

  3. HB
    Heather Bortfeld

    Texas A&M University, United States

    2 publications · 51 citations

    2

    h-index

  4. AJ
    Alyssa J. Kersey

    University of Rochester, United States

    2 publications · 113 citations

    2

    h-index

  5. RH
    Rachel Hull

    Texas A&M University, United States

    2 publications · 51 citations

    2

    h-index

1–5 of 119

Venues

  1. Perception & Psychophysics

    4 publications · 504 citations

    4

    h-index

  2. Journal of Neuroscience

    3 publications · 221 citations

    3

    h-index

  3. Cognition

    2 publications · 400 citations

    2

    h-index

  4. Journal of Vision

    2 publications · 63 citations

    2

    h-index

  5. Perceptual and Motor Skills

    2 publications · 165 citations

    2

    h-index

1–5