Vocal development is usually studied from the perspective of neuroscience. In this issue, Zhang and Ghazanfar propose a way in which body growth might condition the process. They study the vocalizations of marmoset infants with a wide range of techniques that include computational models and experiments that mimic growth reversal. Their results suggest that the qualitative changes that occur during development are rooted in the nonlinear interaction between the nervous system and the biomechanics involved in respiration. This work illustrates how an integrative approach enriches our understanding of behavior.
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http://dx.doi.org/10.1371/journal.pbio.2005544 | DOI Listing |
J Voice
January 2025
Department of Otolaryngology-Head and Neck Surgery, Boston Medical Center, Boston, MA; Boston University Chobanian and Avedisian School of Medicine, Boston, MA. Electronic address:
Introduction: Patient-reported outcome measures (PROMs) represent an important part of a comprehensive voice assessment for clinical care and research. Access to multilingual PROMs enables inclusion of information from diverse patient populations. This review compares available translated and validated PROMs for adult dysphonia.
View Article and Find Full Text PDFAlzheimers Dement (Amst)
January 2025
Department of Psychiatry Rambam Health Care Campus Haifa Israel.
Background: Late-life depression (LLD) is a heterogenous disorder related to cognitive decline and neurodegenerative processes, raising a need for the development of novel biomarkers. We sought to provide preliminary evidence for acoustic speech signatures sensitive to LLD and their relationship to depressive dimensions.
Methods: Forty patients (24 female, aged 65-82 years) were assessed with the Geriatric Depression Scale (GDS).
J Acoust Soc Am
January 2025
Key Laboratory of Underwater Acoustic Communication and Marine Information Technology of the Ministry of Education, College of Ocean and Earth Sciences, Xiamen University, Xiamen 361005, China.
Odontocetes are capable of dynamically changing their echolocation clicks to efficiently detect targets, and learning their clicking strategy can facilitate the design of man-made detecting signals. In this study, we developed deep convolutional generative adversarial networks guided by an acoustic feature vector (AF-DCGANs) to synthesize narrowband clicks of the finless porpoise (Neophocaena phocaenoides sunameri) and broadband clicks of the bottlenose dolphins (Tursiops truncatus). The average short-time objective intelligibility (STOI), spectral correlation coefficient (Spe-CORR), waveform correlation coefficient (Wave-CORR), and dynamic time warping distance (DTW-Distance) of the synthetic clicks were 0.
View Article and Find Full Text PDFPLoS One
January 2025
Computer Engineering, CCSIT, King Faisal University, Al Hufuf, Kingdom of Saudi Arabia.
The health of poultry flock is crucial in sustainable farming. Recent advances in machine learning and speech analysis have opened up opportunities for real-time monitoring of the behavior and health of flock. However, there has been little research on using Tiny Machine Learning (Tiny ML) for continuous vocalization monitoring in poultry.
View Article and Find Full Text PDFJMIR Med Inform
January 2025
Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
Background: The two most commonly used methods to identify frailty are the frailty phenotype and the frailty index. However, both methods have limitations in clinical application. In addition, methods for measuring frailty have not yet been standardized.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!