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

Authors

169

  1. SV
    Shiv Vitaladevuni

    RTX (United States), United States

    3 publications · 113 citations

    3

    h-index

  2. BH
    Björn Hoffmeister

    RWTH Aachen University, Germany

    3 publications · 270 citations

    3

    h-index

  3. LX
    Lei Xie

    Northwestern Polytechnical University, China

    3 publications · 73 citations

    3

    h-index

  4. HL
    Hang Lv

    Northwestern Polytechnical University, China

    2 publications · 53 citations

    2

    h-index

  5. AZ
    Andrew Zisserman

    University of Oxford, United Kingdom

    2 publications · 34 citations

    2

    h-index

1–5 of 169

Venues

  1. arXiv (Cornell University)

    Repository · 3 publications · 60 citations

    3

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  2. 2

    h-index

  3. 2

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  4. James Joyce quarterly

    JJQ · 1 publications · 12 citations

    1

    h-index

  5. 1

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1–5