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Which words are hard to recognize? Prosodic, lexical, and disfluency factors that increase speech recognition error rates
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“Past work has also found that ASRs perform somewhat worse on conversational speech from male speakers than female speakers, likely due to male speakers using more informal style with shorter, more reduced pronunciations and more disfluencies (28, 29).”
From Racial disparities in automated speech recognition (2020) · cites this paper as [28]
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“age and gender are also known to impact the performance of ASR systems (28, 29).”
From Racial disparities in automated speech recognition (2020) · cites this paper as [28]
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Racial disparities in automated speech recognition
Koenecke, A., Nam, A., Lake, E., Nudell, J., Quartey, M., Mengesha, Z., Toups, C., Rickford, J. R., Jurafsky, D., & Goel, S. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1915768117 · Cited by 765
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Bernstein Ratner, N., & MacWhinney, B. (2018) · Journal of Fluency Disorders · doi:10.1016/j.jfludis.2018.03.002 · Cited by 124
Lexicon-Free Conversational Speech Recognition with Neural Networks
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Metadata
- Authors
- Goldwater, S., Jurafsky, D., & Manning, C. D.
- Affiliations
- University of Edinburgh (GB)
- Stanford University (US)
- Corresponding author
- Goldwater, Sharon
- Venue
- Speech Communication
- Publisher
- Elsevier BV
- Published
- 2010-03
- Volume
- 52
- Issue
- 3
- Pages
- 181-200
- ISSN
- 0167-6393 (ISSN-L)
- OpenAlex
- W2131694695
- Cited by
- 166
- References
- 45
- Citations by year
- 2026: 5 · 2025: 8 · 2024: 6 · 2023: 12 · 2022: 12 · 2021: 9 · 2020: 12 · 2019: 10 · 2018: 15 · 2017: 12 · 2016: 9 · 2015: 17 · 2014: 12 · 2013: 8 · 2012: 6
- FWCI
- 6.43
- Type
- journal article
- Language
- en
- Open access
- Locations
- Speech Communication (publishedVersion)
- Edinburgh Research Explorer (University of Edinburgh) (submittedVersion)
- HAL (submittedVersion, other-oa)
- Trinity's Access to Research Output (TARA) (Trinity College Dublin) (submittedVersion)
- Funders
- Multidisciplinary University Research Initiative
- Office of Naval Research
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Speech Recognition and Synthesis
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Phonetics and Phonology Research
- Physical Sciences › Computer Science › Signal Processing › Speech and Audio Processing
- Keywords
- speech recognition errors, prosody, disfluency, discourse markers, speaker differences, conversational speech
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