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 …

Purpose Smoothed cepstral peak prominence (CPPS) and harmonics-to-noise ratio (HNR)
are acoustic measures related to the periodicity, harmonicity, and noise components of an …

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

Clinical diagnosis of voice pathologies is performed by analyzing audio, color, shape, and
vibration patterns of the laryngeal recordings which are taken with medical imaging devices …

Voice acoustic analysis is becoming nowadays a useful tool for detection of laryngological
pathologies. This techniques enables a non-invasive and low cost assessment of voice …

Featured Application The paper describes a low-complexity/efficient algorithm to determine
the short-term Autocorrelation, HNR, and NHR in sustained vowel audios, to be used in …

This review aims at becoming a guide which will help to plan the experimental design and to
choose adequate methods to assess the outcomes when testing cell-based products in the …

In this paper, we present a study on the efficiency of neural networks for the hard problem of
automatically classifying voice disorders. To this end, convolutional architectures combined …

Purpose Even though recent investigations have used multiparametric protocol, the set of
robust parameters in determining the effects of vocal fatigue and voice rest in teachers is not …

Introduction Literature review suggests that the analysis of acoustic, cepstral, and spectral
parameters of voice offers excellent discrimination between the normal and pathological …