Results 31 to 40 of about 239,181 (305)

Acoustical analysis of tracheoesophageal voice

Speech Communication, 2005
Acoustical voice analysis of laryngectomees is a complicated matter because of the often weak periodicity of the voice and the high noise component. This study consists of a feasibility study and validation of an acoustical tracheoesophageal (TE) voice analysis on a sustained vowel based upon recordings of 66 laryngectomees from four clinics in three ...
Van Gogh, Christine D.L., Festen, Joost M., Verdonck-De Leeuw, Irma M., Parker, Andrew J., Traissac, Louis, Cheesman, Anthony D., Mahieu, Hans F.   +6 more
openaire   +3 more sources

Matching novel face and voice identity using static and dynamic facial images [PDF]

, 2016
Research investigating whether faces and voices share common source identity information has offered contradictory results. Accurate face-voice matching is consistently above chance when the facial stimuli are dynamic, but not when the facial stimuli are
Thom Baguley, Andrew K. Dunn, Paula C. Stacey, Smith, HMJ, Harriet M. J. Smith, Baguley, T, Stacey, PC, Dunn, AK   +7 more
core   +1 more source

A serious game to improve the verbal resilience against doorstep scams

International Journal of Serious Games, 2020
Doorstep scams, scams in which con artists tell convincing but fraudulent stories in order to enter the house of a victim and/or steal personal belongings or information, have a high impact on victims. These victims are often elderly people.
Laura van der Lubbe, Charlotte Gerritsen, Tibor Bosse   +2 more
doaj   +1 more source

CLASSIFICATION OF PARKINSON’S DISEASE AND OTHER NEUROLOGICAL DISORDERS USING VOICE FEATURES EXTRACTION AND REDUCTION TECHNIQUES

Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska, 2023
This study aimed to differentiate individuals with Parkinson's disease (PD) from those with other neurological disorders (ND) by analyzing voice samples, considering the association between voice disorders and PD.
Oumaima Majdoubi, Achraf Benba, Ahmed Hammouch   +2 more
doaj   +1 more source

Assessment of Voice Disorders Using Machine Learning and Vocal Analysis of Voice Samples Recorded through Smartphones

BioMedInformatics
Background: The integration of edge computing into smart healthcare systems requires the development of computationally efficient models and methodologies for monitoring and detecting patients’ healthcare statuses.
Michele Giuseppe Di Cesare, David Perpetuini, Daniela Cardone, Arcangelo Merla   +3 more
doaj   +1 more source

Evaluation of Voice in Patients with Antineutrophil Cytoplasmic Antibody Associated Vasculitides

The Turkish Journal of Ear Nose and Throat
Objective: Antineutrophil cytoplasmic antibody-associated vasculitides (AAV) can affect the upper and lower respiratory tract. Evaluation of voice quality was aimed at patients with AAV in this paper.
Kerem Kökoğlu, Melih Kızıltepe, Aslıhan Oflaz Çapar, Emel Oğuz Kökoğlu, Nezaket Tektaş, Abdurrahman Soner Şenel   +5 more
doaj   +1 more source

Acoustic Voice Measures in Benign Mass Lesions [PDF]

Iranian Rehabilitation Journal, 2022
Objectives: The present study aims to compare acoustic voice parameters in patients with vocal cord nodules, polyps, and normal subjects.  Methods: In this cross-sectional case-control study, the participants were selected by convenience sampling ...
Mohaddeseh Rostampourgonbaki, Niloofar Deghanpour, Keivan Kiakojouri, Mehdi Dehghan, Hemmat Gholinia   +4 more
doaj  

Influence of recording instrumentation on measurements of voice in sentence contexts: use of smartphones and tablets

Frontiers in Digital Health
IntroductionThe Bridge2AI-Voice. Consortium is developing affordable and accessible voice data to assist in the identification of vocal biomarkers of disease in adults and children.
Shaheen N. Awan, Yael Bensoussan, Stephanie Watts, Micah Boyer, Robert Budinsky, Ruth H. Bahr   +5 more
doaj   +1 more source

Small-size spectral features for machine learning in voice signal analysis and classification tasks

Informatika, 2023
Objectives. The problem of developing a method for calculating small-sized spectral features that increases the efficiency of existing machine learning systems for analyzing and classifying voice signals is being solved.Methods.
D. S. Likhachov, M. I. Vashkevich, N. A. Petrovsky, E. S. Azarov   +3 more
doaj   +1 more source

Acoustic Parameters in the Evaluation of Voice Quality of Choral Singers. Prototype of Mobile Application for Voice Quality Evaluation

Archives of Acoustics, 2019
Choral singers are among intensive voice users whose excessive vocal effort puts them at risk of developing voice disorders. The aim of the work was to assess voice quality for choral singers in the choir at the Polish-Japanese Academy of Information ...
Krzysztof SZKLANNY
doaj   +1 more source