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
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8.1K
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324
Authors
156
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2017–2026
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Attention-Based Models for Speech Recognition
Jan Chorowski, Dzmitry Bahdanau, Dmitriy Serdyuk et al. · arXiv (Cornell University) · 2015 · 1.8K citations · Full text
Attention-Based Models for Speech Recognition
Jan Chorowski, Dzmitry Bahdanau, Dmitriy Serdyuk et al. · 2015 · 301 citations
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Brown University
Providence, United States
5 h-index
10 publications
308 citations
Max Planck Institute for Psycholinguistics
Nijmegen, The Netherlands
5 h-index
10 publications
898 citations

Centre National de la Recherche Scientifique
Paris, France
4 h-index
10 publications
649 citations
The Ohio State University
Columbus, United States
4 h-index
7 publications
295 citations

University of Wrocław
Wroclaw, Poland
3 h-index
3 publications
2.5K citations
John Brown University
Siloam Springs, United States
3 h-index
5 publications
184 citations
Max Planck Society
Munich, Germany
3 h-index
3 publications
454 citations
Yale University
New Haven, United States
3 h-index
5 publications
214 citations
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9 publications · 573 citations
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7 publications · 348 citations
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JASA · 5 publications · 218 citations
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Repository · 5 publications · 2.3K citations
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4 publications · 170 citations
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