Automatic Pronunciation Scoring
Automatic Pronunciation Scoring is a computational assessment method that systematically evaluates the accuracy and fluency of non-native speech production by comparing acoustic features of spoken input to native-like pronunciation norms.
99
Publications
4.4K
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274
Authors
95
Institutions
Publications per year
2017–2026
29
Variants
Automated Pronunciation Scoring
99
Automatic scoring of non-native spontaneous speech in tests of spoken English
Klaus Zechner, Derrick Higgins, Xiaoming Xi et al. · Speech Communication · 2009 · 244 citations
Automatic scoring of pronunciation quality
Leonardo Neumeyer, Horacio Franco, Vassilios Digalakis et al. · Speech Communication · 2000 · 228 citations
Language Studies, Linguistics, Natural Language Processing +13
Automatic pronunciation scoring for language instruction
Horacio Franco, Leonardo Neumeyer, Yoon Kim et al. · 2002 · 184 citations
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SRI International
Menlo Park, United States
6 h-index
24 publications
3.4K citations

Radboud University Nijmegen
Nijmegen, The Netherlands
6 h-index
15 publications
713 citations
Educational Testing Service
Princeton, United States
5 h-index
26 publications
2.1K citations
University of Southern California
Los Angeles, United States
3 h-index
9 publications
185 citations
Institute for Infocomm Research
Singapore, Singapore
3 h-index
6 publications
210 citations

Stellenbosch University
Stellenbosch, South Africa
3 h-index
6 publications
68 citations

University of Edinburgh
Edinburgh, United Kingdom
2 h-index
10 publications
236 citations
University of California, Los Angeles
Los Angeles, United States
2 h-index
3 publications
70 citations
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8 publications · 1.3K citations
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4 publications · 214 citations
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3 publications · 109 citations
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2 publications · 51 citations
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TACCESS · 2 publications · 53 citations
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