CoChat
Sign Up
Cited by 600Digital Filter Design and ImplementationMusic and Audio ProcessingMathematical Analysis and Transform Methods

The cepstrum: A guide to processing

Childers, D.G., Skinner, D.P., Kemerait, R.C.·1977·Proceedings of the IEEE
DOI 10.1109/proc.1977.10747
Open this paper in CoChat — free account

Abstract

This paper is a pragmatic tutorial review of the cepstrum literature focusing on data processing. The power, complex, and phase cepstra are shown to be easily related to one another. Problems associated with phase unwrapping, linear phase components, spectrum notching, aliasing, oversampling, and extending the data sequence with zeros are discussed. The advantages and disadvantages of windowing the sampled data sequence, the log spectrum, and the complex cepstrum are presented. The influence of noise upon the data processing procedures is discussed throughout the paper, but is not thoroughly analyzed. The effects of various forms of liftering the cepstrum are described. The results obtained by applying whitening and trend removal techniques to the spectrum prior to the calculation of the cepstrum are discussed. We have attempted to synthesize the results, procedures, and information peculiar to the many fields that are finding cepstrum analysis useful. In particular we discuss the interpretation and processing of data in such areas as speech, seismology, and hydroacoustics. But we must caution the reader that the paper is heavily influenced by our own experiences; specific procedures that have been found useful in one field should not be considered as totally general to other fields. It is hoped that this review will be of value to those familiar with the field and reduce the time required for those wishing to become so.

Integrity signals

Registry

Crossref · 10.1109/proc.1977.10747

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Classical signal processing methods such as cepstral analysis can attenuate some effects of reflection interference and scattering losses, but only at short ranges with a high signal-to-noise ratio.

    “Classical signal processing methods, such as cepstral analysis [13], are able to attenuate some of the effects of reflection interference and scattering losses, but only at short ranges with a high signal-to-noise ratio [25]”

    From A Survey of Underwater Acoustic Data Classification Methods Using Deep Learning for Shoreline Surveillance (2022) · cites this paper as [13]

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Childers, D. G., Skinner, D. P., & Kemerait, R. C.
Affiliations
University of Florida (US)
Venue
Proceedings of the IEEE
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Published
1977
Volume
65
Issue
10
Pages
1428-1443
ISSN
0018-9219 (ISSN-L)
DOI
10.1109/proc.1977.10747
OpenAlex
W2049304293
Cited by
600
References
1
Citations by year
2026: 9 · 2025: 12 · 2024: 18 · 2023: 13 · 2022: 24 · 2021: 25 · 2020: 18 · 2019: 20 · 2018: 19 · 2017: 22 · 2016: 28 · 2015: 24 · 2014: 35 · 2013: 17 · 2012: 33
FWCI
5.66
Type
journal article
Language
en
Open access
closed
Licence
ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html (vor)
Locations
Proceedings of the IEEE (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Signal Processing › Digital Filter Design and Implementation
  • Physical Sciences › Computer Science › Signal Processing › Music and Audio Processing
  • Physical Sciences › Mathematics › Applied Mathematics › Mathematical Analysis and Transform Methods
Keywords
cepstrum, complex cepstrum, phase unwrapping, aliasing, oversampling, zero-padding, windowing, noise effects, spectral whitening, detrending, speech analysis, seismology, underwater acoustics

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review