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Cited by 77Speech Recognition and SynthesisLinguistic Variation and MorphologyPhonetics and Phonology Research

Uneven success: automatic speech recognition and ethnicity-related dialects

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Wassink, Alicia Beckford, Gansen, Cady, Bartholomew, Isabel·2022·Speech Communication
DOI 10.1016/j.specom.2022.03.009
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Crossref · 10.1016/j.specom.2022.03.009

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  • Dialectal differences can significantly impact the accuracy of speech analysis systems.

    “For instance, dialectal differences can significantly impact the accuracy of speech analysis systems (Wassink et al., 2022), and without careful consideration of cultural-linguistic suitability, clinical AI might deliver skewed predictions that inappropriately affect clinical decision making for individual speakers with dialect differences from the mainstream.”

    From Equipping Speech-Language Clinicians for the Critical Appraisal of an Artificial Intelligence–Driven, Evidence-Based Future (2025) · cites this paper as Wassink et al., 2022

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Authors
Wassink, A. B., Gansen, C., & Bartholomew, I.
Affiliations
University of Washington (US)
Corresponding author
Wassink, Alicia Beckford
ORCID
Venue
Speech Communication
Publisher
Elsevier BV
Published
2022-05
Volume
140
Pages
50-70
ISSN
0167-6393 (ISSN-L)
DOI
10.1016/j.specom.2022.03.009
OpenAlex
W4220768506
Cited by
77
References
3
Citations by year
2026: 28 · 2025: 12 · 2024: 26 · 2023: 8 · 2022: 3
FWCI
4.03
Type
journal article
Language
en
Open access
Licence
Locations
Speech Communication (acceptedVersion)
Funders
  • American Academy of Arts and Sciences
  • University of Washington
  • National Science Foundation (BCS-1844350)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Speech Recognition and Synthesis
  • Social Sciences › Linguistics and Language › Linguistic Variation and Morphology
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Phonetics and Phonology Research
Keywords
speech recognition, racial bias, sociophonetic variation, sociolinguistic variation, dialect identification, error analysis, acoustic modeling

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