Cepstral Analysis

Cepstral Analysis is a signal processing technique that transforms a signal's logarithmic spectrum into the quefrency domain to separate convolved components, such as source and filter characteristics, by exploiting the additive decomposition of their spectral logarithms.

1.2K

Publications

63.2K

Citations

2.9K

Authors

993

Institutions

Publications per year

2017–2026

256

Variants

Cepstrum Analysis

Authors

2.9K

  1. RM
    Richard M. Stern

    Carnegie Mellon University, United States

    19 publications · 2K citations

    17

    h-index

  2. KK
    Kuldip K. Paliwal

    Griffith University, Australia

    13 publications · 538 citations

    12

    h-index

  3. SN
    Shaheen N. Awan

    Bloomsburg University, United States

    11 publications · 1.1K citations

    11

    h-index

  4. KT
    Keiichi Tokuda

    Nagoya Institute of Technology, Japan

    11 publications · 785 citations

    11

    h-index

  5. JH
    John H. L. Hansen

    The University of Texas at Dallas, United States

    12 publications · 645 citations

    11

    h-index

1–5 of 2.9K

Venues

  1. 27

    h-index

  2. The Journal of the Acoustical Society of America

    JASA · 44 publications · 2.3K citations

    26

    h-index

  3. IEEE Transactions on Speech and Audio Processing

    24 publications · 3.7K citations

    22

    h-index

  4. Journal of Voice

    24 publications · 1.2K citations

    20

    h-index

  5. IEEE Signal Processing Letters

    22 publications · 1.2K citations

    18

    h-index

1–5