There is a relatively large body of research that is aimed at finding a set of acoustic measures of voice signals that can be used to: (a) aid in the detection, diagnosis, and evaluation f voice-quality disorders; (b) identify individual speakers by their voice characteristics; or(c) improve methods of voice synthesis. Three acoustic parameters that have received arelatively large share of attention, especially in the voice-disorders literature, are pitch perturbation, amplitude perturbation, and additive noise. The present stndy consisted of a series of simulations using a general-purpose formant sy thesizer that were designed primarily to determine whether these three parameters could be measured independent ofone another. Results suggest...
This study describes the amount of intra-subject variability to be expected when using an objective,...
This dissertation presents two algorithms that extract parameters which are important to speech proc...
This dissertation presents two algorithms that extract parameters which are important to speech proc...
Background/Aims: Frequency and amplitude perturbations are inherent in voice acoustic signals. The a...
WOS: 000291330700022Objective: The aim of this study is to investigate the influence of noise on voi...
Objective: The aim of this study is to investigate the influence of noise on voice perturbation outp...
Dysphonic voices are often analyzed using automated voice analysis software. However, the reliabilit...
Pitch perturbation is a measure of the cycle-to-cycle variation in vocal fold vibration. Perturbatio...
Objective measurement of the severity of dysphonia typically requires signal processing algorithms a...
Abstract. The voice is a kind of composite wave, timbre is different depending on the different over...
In recent years, acoustic perturbation measurement has gained clinical and research popularity due t...
The accurate extraction of two particular features from the speech signal affected by additive white...
This thesis involved the development, validation and "calibration" of computerized methodologies for...
A synthesizer is based on a nonlinear wave-shaping model of the glottal area, an algebraic model of ...
The purpose of this preliminary study was to investigate the feasibility of a tool to compare a seve...
This study describes the amount of intra-subject variability to be expected when using an objective,...
This dissertation presents two algorithms that extract parameters which are important to speech proc...
This dissertation presents two algorithms that extract parameters which are important to speech proc...
Background/Aims: Frequency and amplitude perturbations are inherent in voice acoustic signals. The a...
WOS: 000291330700022Objective: The aim of this study is to investigate the influence of noise on voi...
Objective: The aim of this study is to investigate the influence of noise on voice perturbation outp...
Dysphonic voices are often analyzed using automated voice analysis software. However, the reliabilit...
Pitch perturbation is a measure of the cycle-to-cycle variation in vocal fold vibration. Perturbatio...
Objective measurement of the severity of dysphonia typically requires signal processing algorithms a...
Abstract. The voice is a kind of composite wave, timbre is different depending on the different over...
In recent years, acoustic perturbation measurement has gained clinical and research popularity due t...
The accurate extraction of two particular features from the speech signal affected by additive white...
This thesis involved the development, validation and "calibration" of computerized methodologies for...
A synthesizer is based on a nonlinear wave-shaping model of the glottal area, an algebraic model of ...
The purpose of this preliminary study was to investigate the feasibility of a tool to compare a seve...
This study describes the amount of intra-subject variability to be expected when using an objective,...
This dissertation presents two algorithms that extract parameters which are important to speech proc...
This dissertation presents two algorithms that extract parameters which are important to speech proc...