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In some species, the ability to acquire new vocalizations persists into adulthood and may be an important mediator of social interactions. While it is generally assumed that vocal learning persists undiminished throughout the lifespan of these open-ended learners, the stability of this trait remains largely unexplored. We hypothesize that vocal learning exhibits senescence, as is typical of complex cognitive traits, and that this decline relates to age-dependent changes in social behaviour. The budgerigar (), an open-ended learner that develops new contact call types that are shared with social associates upon joining new flocks, provides a robust assay for measuring the effects of ageing on vocal learning ability. We formed captive flocks of 4 previously unfamiliar adult males of the same age class, either 'young adults' (6 mo-1 y) or 'older adults' (≥ 3 y), and concurrently tracked changes in contact call structure and social interactions over time. Older adults exhibited decreased vocal diversity, which may be related to sparser and weaker affiliative bonds observed in older adults. Older adults, however, displayed equivalent levels of vocal plasticity and vocal convergence compared to young adults, suggesting that many components of vocal learning are largely maintained into later adulthood in an open-ended learner.
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http://dx.doi.org/10.1098/rspb.2023.0365 | DOI Listing |
J Voice
September 2025
School of Music, University of Minnesota, Minneapolis, MN 55455. Electronic address:
Introduction: Due to its tonal and syllabic structures, Chinese speakers may encounter unique difficulties when learning native Western operatic techniques. These challenges are particularly evident in balancing pitch control, subglottic pressure, and vowel production. The present study examines how native language influences vocal performance, using the Italian art song Caro mio ben as a test piece for singers from different language backgrounds.
View Article and Find Full Text PDFFront Psychol
August 2025
School of the Arts, Universiti Sains Malaysia, Penang, Malaysia.
Introduction: Metacognition plays a vital role in enhancing learning outcomes and has received increasing attention in recent years. Studies have shown that accomplished musicians typically demonstrate high levels of metacognition, and that reflection and feedback are effective strategies for promoting metacognitive development. This study explores the impact of integrating artificial intelligence (AI) and e-learning tools into vocal music training.
View Article and Find Full Text PDFActa Neuropsychiatr
September 2025
Goethe-University Frankfurt am Main; Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital, Frankfurt, Germany.
Objective: Cortisol is a well-established biomarker of stress, assessed through salivary or blood samples, which are intrusive and time-consuming. Speech, influenced by physiological stress responses, offers a promising non-invasive, real-time alternative for stress detection. This study examined relationships between speech features, state anger, and salivary cortisol using a validated stress-induction paradigm.
View Article and Find Full Text PDFBMJ Open
September 2025
Luxembourg Institute of Health, Strassen, Luxembourg.
Introduction: Stress is nearly ubiquitous in everyday life; however, it imposes a tremendous burden worldwide by acting as a risk factor for most physical and mental diseases. The effects of geographic environments on stress are supported by multiple theories acknowledging that natural environments act as a stress buffer and provide deeper and quicker restorative effects than most urban settings. However, little is known about how the temporalities of exposure to complex urban environments (duration, frequency and sequences of exposures) experienced in various locations - as shaped by people's daily activities - affect daily and chronic stress levels.
View Article and Find Full Text PDFIEEE Trans Audio Speech Lang Process (2025)
April 2025
Department of Electronic Engineering and with the Advanced Center for Electrical and Electronic Engineering, Universidad Técnica Federico Santa María, Valparaíso, Chile.
This study presents a novel application of a Probabilistic Bayesian Neural Network (PBNN) for estimating vocal function variables and enhancing non-invasive ambulatory voice monitoring by addressing aleatoric and epistemic uncertainties in regression tasks. The proposed PBNN allows for estimating key physiological parameters including subglottal pressure, vocal fold contact pressure, thyroarytenoid, and cricothyroid muscle activations, from seven aerodynamic and acoustic features. The PBNN is trained on the Triangular Body-Cover Model (TBCM) of the vocal folds to produce a non-linear inverse mapping between its inputs and outputs.
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