Extraction of formant information from linear-prediction phase spectra is proposed. It is shown that the derivative of phase spectrum gives reliable formant information. Since the phase spectra for several resonators in cascade are additive, the resonance peaks are additive in the derivative of the phase spectrum unlike in the magnitude spectrum and hence the problem of identifying merged peaks is very easily solved by this method. Application of the method is illustrated through examples of linear-prediction spectra obtained for simulated models and for actural speech segments
Speech is a non-stationary signal, with the shape of the vocal tract changing over several pitch per...
Recently, a quasi-closed phase (QCP) analysis of speech signals for accurate glottal inverse filteri...
The primary focus of this dissertation is the problem of formant tracking of speech embedded in nois...
Extraction of formant information from linear-prediction phase spectra is proposed. It is shown that...
Formant tracking is a very important task in speech applications. Most of the current formant tracki...
This paper presents an approach based on the properties of group delay functions for extracting form...
A frequency domain technique is presented to be used in speech coding to improve the performance of ...
An investigation of the problem of the estimation of formant frequencies of speech embedded in noise...
Linear prediction (LP) provides a robust, reliable and accurate method for estimating the param...
Spectrograms of speech and audio signals are time-frequency densities, and by construction, they are...
This study presents a method for estimation of glottal formant frequency (Fg) from speech signals. O...
Three main speech recognition methods as well as features commonly used in speech recognition were d...
The phase spectrum of Fourier transform has received lesser prominence than its magnitude counterpar...
We propose methods to track natural variations in the characteristics of the vocal-tract system from...
In general, reconstruction of a speech signal from the spectrogram is non-unique because of the unav...
Speech is a non-stationary signal, with the shape of the vocal tract changing over several pitch per...
Recently, a quasi-closed phase (QCP) analysis of speech signals for accurate glottal inverse filteri...
The primary focus of this dissertation is the problem of formant tracking of speech embedded in nois...
Extraction of formant information from linear-prediction phase spectra is proposed. It is shown that...
Formant tracking is a very important task in speech applications. Most of the current formant tracki...
This paper presents an approach based on the properties of group delay functions for extracting form...
A frequency domain technique is presented to be used in speech coding to improve the performance of ...
An investigation of the problem of the estimation of formant frequencies of speech embedded in noise...
Linear prediction (LP) provides a robust, reliable and accurate method for estimating the param...
Spectrograms of speech and audio signals are time-frequency densities, and by construction, they are...
This study presents a method for estimation of glottal formant frequency (Fg) from speech signals. O...
Three main speech recognition methods as well as features commonly used in speech recognition were d...
The phase spectrum of Fourier transform has received lesser prominence than its magnitude counterpar...
We propose methods to track natural variations in the characteristics of the vocal-tract system from...
In general, reconstruction of a speech signal from the spectrogram is non-unique because of the unav...
Speech is a non-stationary signal, with the shape of the vocal tract changing over several pitch per...
Recently, a quasi-closed phase (QCP) analysis of speech signals for accurate glottal inverse filteri...
The primary focus of this dissertation is the problem of formant tracking of speech embedded in nois...