Disfluency Handling
Disfluency Handling is a speech processing technique that identifies and manages non-grammatical or non-continuous elements in spoken language, such as false starts, repetitions, and filler words, to improve the accuracy and fluency of automatic speech recognition systems.
23
Publications
693
Citations
59
Authors
19
Institutions
Publications per year
2017–2026
2
Parents
23
1–5 of 23
59
3
h-index
2
h-index
2
h-index
Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur, France
1 publications · 18 citations
1
h-index
1
h-index
1–5 of 59
19
Microsoft Research (United Kingdom)
Cambridge, United Kingdom
2 h-index
6 publications
108 citations
Michigan State University
East Lansing, United States
2 h-index
4 publications
238 citations

Macquarie University
Sydney, Australia
2 h-index
5 publications
304 citations
University of Pittsburgh
Pittsburgh, United States
1 h-index
1 publications
11 citations

Ghent University
Ghent, Belgium
1 h-index
2 publications
74 citations

University of Waterloo
Waterloo, Canada
1 h-index
3 publications
36 citations
UCLouvain
Louvain-la-Neuve, Belgium
1 h-index
2 publications
104 citations
Microsoft Research (India)
Bengaluru, India
1 h-index
4 publications
80 citations
1–8 of 19
2 publications · 88 citations
2
h-index
IJCL · 1 publications · 52 citations
1
h-index
TACL · 1 publications · 104 citations
1
h-index
1 publications · 37 citations
1
h-index
1 publications · 22 citations
1
h-index
1–5