Speech Disfluency Detection is a computational method in spoken language processing that identifies and classifies disfluent segments—such as hesitations, repetitions, and false starts—within continuous speech, distinguishing it from general speech recognition by specifically targeting non-fluent utterances that deviate from canonical linguistic structure.
130
Publications
6.3K
Citations
283
Authors
107
Institutions
Publications per year
2017–2026
33
Parents
Publications
130
1–5 of 130
Authors
283
- ES
9
h-index
- AS
9
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- MJ
8
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- JH
6
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- MO
5
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1–5 of 283
Institutions
107
SRI International
Menlo Park, United States
11 h-index
24 publications
1.6K citations
Macquarie University
Sydney, Australia
6 h-index
14 publications
545 citations
University of California, Berkeley
Berkeley, United States
6 h-index
20 publications
1.1K citations
Google (United States)
Mountain View, United States
5 h-index
7 publications
1K citations
University of Southern California
Los Angeles, United States
4 h-index
7 publications
142 citations
Queen Mary University of London
London, United Kingdom
4 h-index
10 publications
467 citations
Purdue University West Lafayette
West Lafayette, United States
4 h-index
6 publications
255 citations
University of Edinburgh
Edinburgh, United Kingdom
4 h-index
5 publications
263 citations
1–8 of 107
Venues
- Journal of Fluency Disorders
4 publications · 135 citations
4
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- Speech Communication
3 publications · 248 citations
3
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- Journal of Applied Behavior Analysis
JABA · 3 publications · 54 citations
3
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- Journal of Speech Language and Hearing Research
JSLHR · 3 publications · 504 citations
3
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- IEEE Transactions on Audio Speech and Language Processing
3 publications · 87 citations
3
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1–5