A cepstrum is the result of taking the Inverse Fourier transform (FT) of the logarithm of the spectrum of a signal. There is a complex cepstrum, a real cepstrum, a power cepstrum, and phase cepstrum. The power cepstrum in particular finds applications in the analysis of human speech. speech is one of the most important tools for communication between human and his environment. Therefore manufacturing of Automatic System Recognition (ASR) is desire for him all the time. In a speech recognition system, many parameters affect the accuracy of the Recognition System
23nd Signal Processing and Communications Applications Conference (SIU) -- MAY 16-19, 2015 -- Inonu ...
Abstract—A common problem in speaker identification systems is that a mismatch in the training and t...
This dissertation introduces a new approach to estimation of the features used in an automatic speec...
This paper presents a method of speech recognition by pattern recognition techniques. Learning consi...
Solving speech recognition problems requires an adequate feature extraction technique to transform t...
[[abstract]]© 1992 Elsevier - A two-dimensional cepstrum (TDC) approach for speech recognition is in...
Cepstral coefficients are widely used in speech recognition. In this paper, we claim that they are n...
Mel-frequency cepstral coefficients (MFCCs) are widely adopted in speech recognition as well as spea...
We introduce "the modulation cepstrum, " a novel representation of an acoustic signal used...
The article presents two methods of determination of cepstral parameters commonly applied in digital...
In this paper, a feature extraction algorithm for robust speech recognition is introduced. The featu...
This paper examines the effectiveness of a generalized dynamic cepstrum in distant speech recognitio...
ABSTRACTObjective: Voice Recognition is a fascinating field spanning several areas of computer scien...
AbstractIn this paper we present a new wavelet-based algorithm for low-cost computation of the cepst...
This paper introduces a novel approach for complex cepstrum analysis. Given initial estimates of com...
23nd Signal Processing and Communications Applications Conference (SIU) -- MAY 16-19, 2015 -- Inonu ...
Abstract—A common problem in speaker identification systems is that a mismatch in the training and t...
This dissertation introduces a new approach to estimation of the features used in an automatic speec...
This paper presents a method of speech recognition by pattern recognition techniques. Learning consi...
Solving speech recognition problems requires an adequate feature extraction technique to transform t...
[[abstract]]© 1992 Elsevier - A two-dimensional cepstrum (TDC) approach for speech recognition is in...
Cepstral coefficients are widely used in speech recognition. In this paper, we claim that they are n...
Mel-frequency cepstral coefficients (MFCCs) are widely adopted in speech recognition as well as spea...
We introduce "the modulation cepstrum, " a novel representation of an acoustic signal used...
The article presents two methods of determination of cepstral parameters commonly applied in digital...
In this paper, a feature extraction algorithm for robust speech recognition is introduced. The featu...
This paper examines the effectiveness of a generalized dynamic cepstrum in distant speech recognitio...
ABSTRACTObjective: Voice Recognition is a fascinating field spanning several areas of computer scien...
AbstractIn this paper we present a new wavelet-based algorithm for low-cost computation of the cepst...
This paper introduces a novel approach for complex cepstrum analysis. Given initial estimates of com...
23nd Signal Processing and Communications Applications Conference (SIU) -- MAY 16-19, 2015 -- Inonu ...
Abstract—A common problem in speaker identification systems is that a mismatch in the training and t...
This dissertation introduces a new approach to estimation of the features used in an automatic speec...