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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… 
Highly Cited
2007
Highly Cited
2007
Robust distant speaker recognition based on position-dependent CMN by combining speaker-specific GMM with speaker-adapted HMM
2007
2007
Emerging features for speaker recognition
Cepstral features and their derivatives have been successfully used in speaker recognitions tasks over the past two decades… 
Highly Cited
1998
Highly Cited
1998
Data-driven environmental compensation for speech recognition: A unified approach
Highly Cited
1997
Highly Cited
1997
Application of speech conversion to alaryngeal speech enhancement
Two existing speech conversion algorithms were modified and used to enhance alaryngeal speech. The modifications were aimed at… 
Highly Cited
1996
Highly Cited
1996
Signal conditioning techniques for robust speech recognition
Acoustic mismatch encountered in various training and testing conditions of hidden Markov model (HMM) based systems often causes… 
1994
1994
Speaker identification using multilayer perceptrons and radial basis function networks
Highly Cited
1993
Highly Cited
1993
Root cepstral analysis: A unified view. Application to speech processing in car noise environments
Highly Cited
1993
Highly Cited
1993
Recognition of environmental sounds
The author describes a preliminary study designed to answer the question, 'How well can familiar environmental sounds be… 
Highly Cited
1992
Highly Cited
1992
Improved acoustic modeling for large vocabulary continuous speech recognition
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