Skip to search formSkip to main contentSkip to account menu

Cepstrum

Known as: Kolmogorov equation power series time response, Cross-Cepstrum, Liftering 
A cepstrum (/ˈkɛpstrəmˈˌˈsɛpstrəmˈ/) is the result of taking the inverse Fourier transform (IFT) of the logarithm of the estimated spectrum of a… 
Wikipedia (opens in a new tab)

Related topics

Related topics

16 relations
AutocorrelationAutomatic target recognitionBlind deconvolutionCepstral Mean and Variance Normalization

Broader (1)

Signal processing

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
The EURECOM Submission to the First DIHARD Challenge
The first DIHARD challenge aims to promote speaker diarization research and to foster progress in domain robustness. This paper… 
2013
2013
RECOGNISING ACOUSTIC SCENES WITH LARGE-SCALE AUDIO FEATURE EXTRACTION AND SVM
This work describes our contribution to the IEEE AASP Challenge on classification of acoustic scenes. From the 30 second long… 
2012
2012
Efficient Computation of the Feedback Filter for the Hybrid Decision Feedback Equalizer in Highly Dispersive Channels
The hybrid decision feedback equalizer (DFE) is a combined time-frequency domain implementation of the conventional time-domain… 
2011
2011
Acoustic super models for large scale video event detection
Given the exponential growth of videos published on the Internet, mechanisms for clustering, searching, and browsing large… 
2009
2009
Robust Detection of Phone Boundaries Using Model Selection Criteria With Few Observations
Automatic phone segmentation techniques based on model selection criteria are studied. We investigate the phone boundary… 
Highly Cited
1999
Highly Cited
1999
Speaker adaptation with all-pass transforms
In previous work, a class of transforms were proposed which achieve a remapping of the frequency axis much like conventional… 
Highly Cited
1998
Highly Cited
1998
Speaker normalization with all-pass transforms
Speaker normalization is a process in which the short-time features of speech from a given speaker are transformed so as to… 
1993
1993
Speech synthesis using artificial neural networks trained on cepstral coefficients
1992
1992
Hidden Markov model state-based cepstral noise compensation
1978
1978
Feature selection via dynamic programming for text-independent speaker identification
Dynamic programming is applied to the selection of feature subsets in text-independent speaker identification. Each feature is… 
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy (opens in a new tab), Terms of Service (opens in a new tab), and Dataset License (opens in a new tab)