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

Authors

2.5K

  1. JH
    John H. L. Hansen

    The University of Texas at Dallas, United States

    27 publications · 828 citations

    16

    h-index

  2. MF
    Masakiyo Fujimoto

    NTT (Japan), Japan

    16 publications · 450 citations

    13

    h-index

  3. JC
    Joon‐Hyuk Chang

    Hanyang University, South Korea

    13 publications · 411 citations

    12

    h-index

  4. NS
    Nam Soo Kim

    Seoul National University, South Korea

    11 publications · 1.6K citations

    11

    h-index

  5. JC
    José C. Segura

    Universidad de Granada, Spain

    12 publications · 875 citations

    11

    h-index

1–5 of 2.5K

Venues

  1. Speech Communication

    41 publications · 2.1K citations

    22

    h-index

  2. IEEE Signal Processing Letters

    27 publications · 2.6K citations

    19

    h-index

  3. 17

    h-index

  4. Computer Speech & Language

    15 publications · 596 citations

    14

    h-index

  5. IEEE/ACM Transactions on Audio Speech and Language Processing

    TASLP · 18 publications · 823 citations

    14

    h-index

1–5