Background Noise Robustness
Background Noise Robustness is a speaker identification performance attribute that characterizes a system's capacity to maintain accurate speaker recognition under varying levels and types of acoustic background noise.
247
Publications
13.2K
Citations
792
Authors
301
Institutions
Publications per year
2017–2026
85
Parents
247
1–5 of 247
792
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h-index
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h-index
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1–5 of 792
301
The University of Texas at Dallas
Richardson, United States
9 h-index
18 publications
611 citations
University of Cambridge
Cambridge, United Kingdom
6 h-index
9 publications
1.2K citations
SRI International
Menlo Park, United States
6 h-index
15 publications
1.9K citations
The Ohio State University
Columbus, United States
5 h-index
11 publications
783 citations
Carnegie Mellon University
Pittsburgh, United States
5 h-index
5 publications
477 citations
University of Science and Technology of China
Hefei, China
4 h-index
9 publications
191 citations
Microsoft (United States)
Redmond, United States
4 h-index
18 publications
4K citations
Menlo School
Atherton, United States
4 h-index
12 publications
1.6K citations
1–8 of 301
7 publications · 447 citations
7
h-index
TASLP · 6 publications · 816 citations
6
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JASA · 5 publications · 170 citations
5
h-index
4 publications · 78 citations
4
h-index
4 publications · 189 citations
4
h-index
1–5