Results 31 to 40 of about 1,635,162 (301)

Speech Emotion Recognition Based on Voice Fundamental Frequency

Archives of Acoustics, 2019
The human voice is one of the basic means of communication, thanks to which one also can easily convey the emotional state. This paper presents experiments on emotion recognition in human speech based on the fundamental frequency.
Teodora DIMITROVA-GREKOW, Aneta KLIS, Magdalena IGRAS-CYBULSKA   +2 more
doaj   +1 more source

Color and texture associations in voice-induced synesthesia [PDF]

, 2013
Voice-induced synesthesia, a form of synesthesia in which synesthetic perceptions are induced by the sounds of people's voices, appears to be relatively rare and has not been systematically studied. In this study we investigated the synesthetic color and
Moos, A., Simmons, D., Simner, J., Smith, R.   +3 more
core   +3 more sources

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

Gender differences in the temporal voice areas [PDF]

, 2014
There is not only evidence for behavioral differences in voice perception between female and male listeners, but also recent suggestions for differences in neural correlates between genders.
Bashar Awwad Shiekh Hasan, Belin, Belin, Belin, Belin, Belin, Binder, Brett, Bruno L. Giordano, Cox, De Pisapia, Ethofer, Hall, Hall, Hall, Haynes, Haynes, Haynes, Holmes, Huettel, Junger, Kotz, Kreifelts, Kriegeskorte, Latinus, Lattner, Merle-Marie Ahrens, Mur, Nichols, Norman, Pascal Belin, Sander, Schirmer, Schirmer, Schirmer, Schirmer, Schirmer, Scott, Seifritz, Shaywitz, Skuk, Von Kriegstein   +41 more
core   +6 more sources

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