Speech Sound Normalization

Speech Sound Normalization is a computational method in speech processing that standardizes acoustic or articulatory representations of speech sounds across speakers, dialects, or pathologies by transforming variant productions into a common reference frame to facilitate accurate analysis and comparison within clinical and linguistic research.

36

Publications

1.5K

Citations

105

Authors

45

Institutions

Publications per year

2017–2026

10

Authors

105

  1. RS
    Rochelle S. Newman

    University of Maryland, College Park, United States

    3 publications · 179 citations

    3

    h-index

  2. JR
    James R. Sawusch

    University at Buffalo, State University of New York, United States

    3 publications · 179 citations

    3

    h-index

  3. PJ
    Pedro J. Moreno

    Google (United States), United States

    2 publications · 130 citations

    2

    h-index

  4. GP
    Gang Peng

    Chinese University of Hong Kong, Hong Kong SAR China

    2 publications · 57 citations

    2

    h-index

  5. KJ
    Keith Johnson

    University of California, Berkeley, United States

    2 publications · 103 citations

    2

    h-index

1–5 of 105

Venues

  1. The Journal of the Acoustical Society of America

    JASA · 3 publications · 109 citations

    3

    h-index

  2. Perception & Psychophysics

    3 publications · 136 citations

    3

    h-index

  3. Journal of Speech Language and Hearing Research

    JSLHR · 2 publications · 148 citations

    2

    h-index

  4. Attention Perception & Psychophysics

    2 publications · 110 citations

    2

    h-index

  5. Brain and Language

    2 publications · 57 citations

    2

    h-index

1–5