Speech Activity Detection
Speech Activity Detection is a signal processing method that distinguishes segments of an audio stream containing human speech from those containing only silence, noise, or non-speech sounds, by analyzing acoustic features to identify the temporal boundaries of speech episodes.
978
Publications
48K
Citations
2.5K
Authors
703
Institutions
Publications per year
2017–2026
250
Variants
VadVoice Activity Detection
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The University of Texas at Dallas
Richardson, United States
15 h-index
56 publications
1.9K citations

Centre National de la Recherche Scientifique
Paris, France
14 h-index
52 publications
2K citations
NTT (Japan)
Tokyo, Japan
13 h-index
67 publications
2.8K citations

Universidad de Granada
Granada, Spain
11 h-index
38 publications
3.4K citations
Amirkabir University of Technology
Tehran, Iran
11 h-index
23 publications
605 citations
University of Southern California
Los Angeles, United States
11 h-index
41 publications
1.8K citations
Idiap Research Institute
Martigny-Combe, Switzerland
11 h-index
28 publications
1.1K citations
Tsinghua University
Beijing, China
11 h-index
25 publications
661 citations
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41 publications · 2.1K citations
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27 publications · 2.6K citations
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18 publications · 861 citations
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TASLP · 18 publications · 823 citations
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