Wake Word Detection
Wake Word Detection is a speech interaction technique that identifies a specific spoken phrase or acoustic trigger to activate a voice-enabled system, distinguishing it from general speech recognition by focusing exclusively on the detection of a predefined utterance to initiate subsequent processing.
38
Publications
1.5K
Citations
169
Authors
56
Institutions
Publications per year
2017–2026
35
Parents
38
Federated Learning for Keyword Spotting
David Leroy, Alice Coucke, Thibaut Lavril et al. · 2019 · 277 citations
Monophone-Based Background Modeling for Two-Stage On-Device Wake Word Detection
Minhua Wu, Sankaran Panchapagesan, Ming Sun et al. · 2018 · 76 citations
1–5 of 38
169
3
h-index
3
h-index
3
h-index
2
h-index
2
h-index
1–5 of 169
56
Carnegie Mellon University
Pittsburgh, United States
4 h-index
10 publications
402 citations
Amazon (United States)
Seattle, United States
3 h-index
18 publications
908 citations

Northwestern Polytechnical University
Xi'an, China
3 h-index
6 publications
175 citations
Google (United States)
Mountain View, United States
2 h-index
4 publications
172 citations

Johns Hopkins University
Baltimore, United States
2 h-index
3 publications
223 citations

Technische Universität Darmstadt
Darmstadt, Germany
2 h-index
5 publications
126 citations
University of Oxford
Oxford, United Kingdom
2 h-index
8 publications
136 citations

University of Waterloo
Waterloo, Canada
1 h-index
3 publications
42 citations
1–8 of 56
Repository · 3 publications · 60 citations
3
h-index
Conference · 2 publications · 59 citations
2
h-index
IMWUT · 2 publications · 104 citations
2
h-index
JJQ · 1 publications · 12 citations
1
h-index
1 publications · 62 citations
1
h-index
1–5