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Currently, there is no consensus on the characterization of the human voice. The objective of the present study is to describe the myoelectric behavior of the extrinsic musculature of the larynx in 146 people with normal voice (Spanish speakers), aged between 20 and 50 years old. Different vocal tasks were recorded using a surface electromyograph (SEMG). In all vocal tasks, it was observed that women had higher activation (µV) in the suprahyoid and sternocleidomastoid muscles than men, while men had higher activation in the infrahyoid muscles. SEMG is a valid procedure to help define normal vocal characteristics in the studied population, providing reference values during clinical examination. However, it is necessary to adopt a universal system of assessment tasks and standardized measurement techniques to allow for comparisons with future studies.
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http://dx.doi.org/10.3390/jpm14060592 | DOI Listing |
J Speech Lang Hear Res
December 2024
University of California, San Francisco.
Purpose: We investigate the extent to which automated audiovisual metrics extracted during an affect production task show statistically significant differences between a cohort of children diagnosed with autism spectrum disorder (ASD) and typically developing controls.
Method: Forty children with ASD and 21 neurotypical controls interacted with a multimodal conversational platform with a virtual agent, Tina, who guided them through tasks prompting facial and vocal communication of four emotions-happy, angry, sad, and afraid-under conditions of high and low verbal and social cognitive task demands.
Results: Individuals with ASD exhibited greater standard deviation of the fundamental frequency of the voice with the minima and maxima of the pitch contour occurring at an earlier time point as compared to controls.
J Speech Lang Hear Res
December 2024
Department of Speech-Language-Hearing Sciences and Masonic Institute for the Developing Brain, The University of Minnesota, Twin Cities.
Purpose: Stuttering is a neurodevelopmental disorder that disrupts the timing and rhythmic flow of speech production. There is growing evidence indicating that abnormal interactions between the auditory and motor cortices contribute to the development of stuttering. The present study investigated speech auditory-motor synchronization in stuttering adults and the influential factors behind it as compared to individuals without stuttering.
View Article and Find Full Text PDFJ Voice
December 2024
Speech and Hearing Bioscience and Technology Program, Harvard University, 25 Shattuck St, Boston 02115, Massachusetts; Harvard Medical School, 25 Shattuck St, Boston 02115, Massachusetts; Mass General Hospital (MGH) Voice Center, 1 Bowdoin Sq, Boston 02114, Massachusetts; MGH Institute of Health Professions, 36 1st Ave, Boston 02129, Massachusetts. Electronic address:
Many common voice disorders are associated with vocal hyperfunction (VH), with subtypes including phonotraumatic VH (leading to organic vocal fold lesions such as nodules and/or polyps) and nonphonotraumatic VH (often diagnosed as primary muscle tension dysphonia). VH has been hypothesized to influence baseline vocal fold tension during phonation, and the relative fundamental frequency (RFF) during onset and offset cycles of phonation has been related to vocal fold tension and has been shown to differentiate typical voices from patients with VH in laboratory settings. In this study, we investigated whether the laboratory sensitivity of RFF to the presence of VH found in the laboratory is preserved in naturalistic, in-field settings and whether ecological momentary assessment of RFF during daily life could be a correlate of self-reported vocal effort.
View Article and Find Full Text PDFJ Neurosci Methods
December 2024
Charleston Area Medical Center, Charleston, WV, USA.
Background: 21st century neurology will require scalable and quantitative tools that can improve neurologic evaluations over telehealth and expand access to care. Commercially available mixed-reality headsets allow for simultaneous presentation of stimuli via holograms projected into the real world and objective and quantitative measurement of hand movement, eye movement, and phonation.
New Method: We created 6 tasks designed to mimic standard neurologic assessments and administered them to a single participant via the Microsoft HoloLens 2 mixed-reality headset.
J Voice
December 2024
Digital Healthcare Research Center, Pukyong National University, Busan 48513, Republic of Korea; Division of Smart Healthcare, College of Information Technology and Convergence, Pukyong National University, Busan 48513, Republic of Korea; Department of Industry 4.0 Convergence Bionics Engineering, Pukyoung National University, Busan 48513, Republic of Korea. Electronic address:
Parkinson's disease (PD) is a neurodegenerative disorder affecting motor and non-motor functions, including speech. This study evaluates the effectiveness of the audio spectrogram transformer (AST) model in detecting PD through vocal biomarkers, hypothesizing that its self-attention mechanism would better capture PD related speech impairments compared to traditional deep learning approaches. Speech recordings from 150 participants (100 from PC-GITA: 50 PD, 50 healthy controls (HC); 50 from Italian Parkinson's voice and speech (ITA): 28 PD, 22 HC) were analyzed using the AST model and compared against established architectures including VGG16, VGG19, ResNet18, ResNet34, vision transformer, and swin transformer.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!