Speech processing plays a crucial role in many signal processing applications, while the
last decade has bought gigantic evolution based on machine learning prototype. Speech …

Purpose: The human voice changes with the progression of neurological disease and the
onset of diseases that affect articulators, often decreasing the effectiveness of …

Introduction Computer analysis of voice recordings is an integral part of the evaluation and
management of voice disorders. In many practices, voice samples are taken in rooms that …

The automatic speech recognition (ASR) system is increasingly being applied as assistive
technology in the speech impaired community, for individuals with physical disabilities such …

Abstract Harmonic to Noise Ratio (HNR) measures the ratio between periodic and non-
periodic components of a speech sound. It has become more and more important in the …

Voice acoustic analysis is becoming more and more useful in diagnosis of voice disorders or
laryngological pathologies. The facility to record a voice signal is an advantage over other …

Background Perceptual assessment and objective measures of voice provide a quantifiable
tool for determining the degree of glottal closure, thus helping to distinguish dysphonic …

Advanced biomedical instruments and data acquisition techniques generate large amount of
physiological data. For accurate diagnosis of related pathology, it has become necessary to …

This study was designed to identify the physiological vocal parameters of Italian adult
subjects by means of Praat software, differentiated by gender and age. The vocal …

Purpose The human voice qualitatively changes across the lifespan. Although some of these
vocal changes may be pathologic, other changes likely reflect natural physiological aging …