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Cepstrum
Known as:
Kolmogorov equation power series time response
, Cross-Cepstrum
, Liftering
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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
Autocorrelation
Automatic target recognition
Blind deconvolution
Cepstral Mean and Variance Normalization
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Broader (1)
Signal processing
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2009
Highly Cited
2009
A unified framework of HMM adaptation with joint compensation of additive and convolutive distortions
Jinyu Li
,
L. Deng
,
Dong Yu
,
Y. Gong
,
A. Acero
Computer Speech and Language
2009
Corpus ID: 16707001
Highly Cited
2007
Highly Cited
2007
High-performance hmm adaptation with joint compensation of additive and convolutive distortions via Vector Taylor Series
Jinyu Li
,
L. Deng
,
Dong Yu
,
Y. Gong
,
A. Acero
Automatic Speech Recognition & Understanding
2007
Corpus ID: 13061769
In this paper, we present our recent development of a model-domain environment-robust adaptation algorithm, which demonstrates…
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Highly Cited
2007
Highly Cited
2007
Precise Dereverberation Using Multichannel Linear Prediction
Marc Delcroix
,
T. Hikichi
,
M. Miyoshi
IEEE Transactions on Audio, Speech, and Language…
2007
Corpus ID: 9417711
In this paper, we discuss the numerical problems posed by the previously reported LInear-predictive Multi-input Equalization…
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Highly Cited
2006
Highly Cited
2006
Sinusoidal model-based analysis and classification of stressed speech
S. Ramamohan
,
S. Dandapat
IEEE Transactions on Audio, Speech, and Language…
2006
Corpus ID: 15139710
In this paper, a sinusoidal model has been proposed for characterization and classification of different stress classes (emotions…
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Highly Cited
2004
Highly Cited
2004
Modulation-scale analysis for content identification
S. Sukittanon
,
L. Atlas
,
J. Pitton
IEEE Transactions on Signal Processing
2004
Corpus ID: 1126151
For nonstationary signal classification, e.g., speech or music, features are traditionally extracted from a time-shifted, yet…
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1998
1998
Use of periodicity and jitter as speech recognition features
D. Thomson
,
R. Chengalvarayan
Proceedings of the IEEE International Conference…
1998
Corpus ID: 17270387
We investigate a class of features related to voicing parameters that indicate whether the vocal chords are vibrating. Features…
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Highly Cited
1997
Highly Cited
1997
Application of speech conversion to alaryngeal speech enhancement
N. Bi
,
Y. Qi
IEEE Transactions on Speech and Audio Processing
1997
Corpus ID: 2506384
Two existing speech conversion algorithms were modified and used to enhance alaryngeal speech. The modifications were aimed at…
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Highly Cited
1996
Highly Cited
1996
Signal conditioning techniques for robust speech recognition
M. Rahim
,
B. Juang
,
W. Chou
,
Eric R. Buhrke
IEEE Signal Processing Letters
1996
Corpus ID: 2411667
Acoustic mismatch encountered in various training and testing conditions of hidden Markov model (HMM) based systems often causes…
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Highly Cited
1993
Highly Cited
1993
Root cepstral analysis: A unified view. Application to speech processing in car noise environments
Patrice Alexandre
,
P. Lockwood
Speech Communication
1993
Corpus ID: 2082473
Highly Cited
1992
Highly Cited
1992
Improved acoustic modeling for large vocabulary continuous speech recognition
Chin-Hui Lee
,
E. Giachin
,
L. Rabiner
,
R. Pieraccini
,
A. Rosenberg
1992
Corpus ID: 62176774
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