This paper presents a new method on the use of the gammachirp auditory filter based on a continuous wavelet analysis. The gammachirp auditory filter is designed to provide a spectrum reflecting the spectral properties of the cochlea, which is responsible for frequency analysis in the human auditory system. The impulse response of the theoretical gammachirp auditory filter that has been developed by Irino and Patterson can be used as the kernel for wavelet transform which approximates the frequency response of the cochlea. This study implements the gammachirp auditory filter described by Irino as an analytical wavelet and examines its application to a different speech signals. The obtained results will be compared with those obtained by two...
Abstract: This paper describes a new design of a psychoacoustic model for audio coding following the...
This paper deals with continuous-time filter transfer functions that resemble tuning curves at parti...
AbstractTo deal with non-stationary and quasi-stationary signals, wavelet transform has been used as...
This paper presents a new method on the use of the gammachirp auditory filter based on a continuous ...
Modern automatic speech recognition (ASR) systems typically use a bank of linear filters as the firs...
The ability of the continuous wavelet transform (CWT) to provide good time and frequency localizatio...
In this paper we draw links between the widely used gammatone filter auditory model and wavelet theo...
Abstract—We develop noise robust features using Gammatone wavelets derived from the popular Gammaton...
: In this paper a fast method for the calculation of a linear time-frequency distribution based on t...
Noise induced hearing loss (NIHL) is a serious occupational related health problem worldwide. The A-...
This paper deals with continuous-time filter transfer functions that resemble tuning curves at parti...
To deal with non-stationary and quasi-stationary signals, wavelet transform has been used as an effe...
In this article, we studied speech analysis using wavelet transforms in order to conceive a flexible...
Abstract—It is now common to use knowledge about human au-ditory processing in the development of au...
This paper describes the development of an auditory filterbank to perform the initial frequency anal...
Abstract: This paper describes a new design of a psychoacoustic model for audio coding following the...
This paper deals with continuous-time filter transfer functions that resemble tuning curves at parti...
AbstractTo deal with non-stationary and quasi-stationary signals, wavelet transform has been used as...
This paper presents a new method on the use of the gammachirp auditory filter based on a continuous ...
Modern automatic speech recognition (ASR) systems typically use a bank of linear filters as the firs...
The ability of the continuous wavelet transform (CWT) to provide good time and frequency localizatio...
In this paper we draw links between the widely used gammatone filter auditory model and wavelet theo...
Abstract—We develop noise robust features using Gammatone wavelets derived from the popular Gammaton...
: In this paper a fast method for the calculation of a linear time-frequency distribution based on t...
Noise induced hearing loss (NIHL) is a serious occupational related health problem worldwide. The A-...
This paper deals with continuous-time filter transfer functions that resemble tuning curves at parti...
To deal with non-stationary and quasi-stationary signals, wavelet transform has been used as an effe...
In this article, we studied speech analysis using wavelet transforms in order to conceive a flexible...
Abstract—It is now common to use knowledge about human au-ditory processing in the development of au...
This paper describes the development of an auditory filterbank to perform the initial frequency anal...
Abstract: This paper describes a new design of a psychoacoustic model for audio coding following the...
This paper deals with continuous-time filter transfer functions that resemble tuning curves at parti...
AbstractTo deal with non-stationary and quasi-stationary signals, wavelet transform has been used as...