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Comparing accuracy in voice-based assessments of biological speaker traits across speech types.
Sci Rep
December 2023
Institute of Psychology, University of Wrocław, Wrocław, Poland.
Nonverbal acoustic parameters of the human voice provide cues to a vocaliser's sex, age, and body size that are relevant in human social and sexual communication, and also increasingly so for computer-based voice recognition and synthesis technologies. While studies have shown some capacity in human listeners to gauge these biological traits from unseen speakers, it remains unknown whether speech complexity improves accuracy. Here, in over 200 vocalisers and 1500 listeners of both sexes, we test whether voice-based assessments of sex, age, height and weight vary from isolated vowels and words, to sequences of vowels and words, to full sentences or paragraphs.
View Article and Find Full Text PDFEmotional Expression in Children With ASD: A Pre-Study on a Two-Group Pre-Post-Test Design Comparing Robot-Based and Computer-Based Training.
Front Psychol
July 2021
Faculty of Biomedical Sciences, Università della Svizzera Italiana, Lugano, Switzerland.
Several studies have found a delay in the development of facial emotion recognition and expression in children with an autism spectrum condition (ASC). Several interventions have been designed to help children to fill this gap. Most of them adopt technological devices (i.
View Article and Find Full Text PDFThe Role of Technology-Based Interventions for Substance Use Disorders in Primary Care: A Review of the Literature.
Med Clin North Am
July 2018
Department of Health Law, Policy, and Medicine, Boston University, Boston, MA 02118, USA.
The burden of alcohol and drug use disorders (substance use disorders [SUDs]) has intensified efforts to expand access to cost-effective psychosocial interventions and pharmacotherapies. This article provides an overview of technology-based interventions (eg, computer-based and Web-based interventions, text messaging, interactive voice recognition, smartphone apps, and emerging technologies) that are extending the reach of effective addiction treatments both in substance use treatment and primary care settings. It discusses the efficacy of existing technology-based interventions for SUDs, prospects for emerging technologies, and special considerations when integrating technologies in primary care (eg, privacy and regulatory protocols) to enhance the management of SUDs.
View Article and Find Full Text PDFThe case for aural perceptual speaker identification.
Forensic Sci Int
December 2016
Forensic Communication Associates, Box 12323, University Station, Gainesville, FL 32601, United States. Electronic address:
Once forensic speaker identification (SI) was recognized as an entity, it was predicted that valid computer based identification systems would quickly become a reality. This has not happened and the review to follow will provide some of the reasons why. Notable among them are (1) the sharp underestimation of its complexity and (2) its confounding with speaker verification (SV).
View Article and Find Full Text PDFDevelopment and Testing of a Smartphone-Based Cognitive/Neuropsychological Evaluation System for Substance Abusers.
J Psychoactive Drugs
December 2017
f Senior Research Scientist, Friends Research Institute, Addiction & Pharmacology Research Laboratory , San Francisco , CA , USA.
Introduction: In methamphetamine (MA) users, drug-induced neurocognitive deficits may help to determine treatment, monitor adherence, and predict relapse. To measure these relationships, we developed an iPhone app (Neurophone) to compare lab and field performance of N-Back, Stop Signal, and Stroop tasks that are sensitive to MA-induced deficits.
Methods: Twenty healthy controls and 16 MA-dependent participants performed the tasks in-lab using a validated computerized platform and the Neurophone before taking the latter home and performing the tasks twice daily for two weeks.
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