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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… 
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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.
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… 
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… 
2008
2008
Robust Speaker Identification System Based on Two-Stage Vector Quantization
This paper presents an effective method for speaker identification system. Based on the wavelet transform, the input speech… 
2007
2007
A Proposed Analog Speech Scrambler Based on Parallel Structure of Wavelet Transforms
The main aim of this paper is to modeling and simulating a proposed analog speech scrambling system for analog speech signals… 
2004
2004
Filtering of Filter‐Bank Energies for Robust Speech Recognition
We propose a novel feature processing technique which can provide a cepstral liftering effect in the log‐spectral domain… 
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… 
1996
1996
Frequency and time filtering of filter-bank energies for HMM speech recognition
In speech recognition, a discriminative frequency weighting can be achieved by decorrelating the frequency sequence of log mel… 
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…