Phonemic Attention

Phonemic Attention is a computational mechanism within phoneme isolation that selectively enhances the acoustic-phonetic representation of individual phonemes by modeling their contextual relevance through differentiable weighting, distinguishing it from non-selective feature extraction methods in speech processing.

111

Publications

8.1K

Citations

324

Authors

156

Institutions

Publications per year

2017–2026

31

Authors

324

  1. AG
    Arthur G. Samuel

    Stony Brook University, United States

    6 publications · 243 citations

    6

    h-index

  2. AC
    Anne Cutler

    Max Planck Institute for Psycholinguistics, Netherlands

    5 publications · 525 citations

    5

    h-index

  3. PD
    Peter D. Eimas

    Brown University, United States

    4 publications · 124 citations

    4

    h-index

  4. AL
    Alexander L. Francis

    Purdue University West Lafayette, United States

    3 publications · 351 citations

    3

    h-index

  5. MA
    Mark A. Pitt

    The Ohio State University, United States

    3 publications · 173 citations

    3

    h-index

1–5 of 324

Venues

  1. 9

    h-index

  2. Journal of Memory and Language

    7 publications · 348 citations

    7

    h-index

  3. The Journal of the Acoustical Society of America

    JASA · 5 publications · 218 citations

    5

    h-index

  4. arXiv (Cornell University)

    Repository · 5 publications · 2.3K citations

    5

    h-index

  5. Language and Cognitive Processes

    4 publications · 170 citations

    4

    h-index

1–5