Although unfamiliar accents can pose word identification challenges for children and adults, few studies have directly compared perception of multiple nonnative and regional accents or quantified how the extent of deviation from the ambient accent impacts word identification accuracy across development. To address these gaps, 5- to 7-year-old children's and adults' word identification accuracy with native (Midland American, British, Scottish), nonnative (German-, Mandarin-, Japanese-accented English) and bilingual (Hindi-English) varieties (one talker per accent) was tested in quiet and noise. Talkers' pronunciation distance from the ambient dialect was quantified at the phoneme level using a Levenshtein algorithm adaptation. Whereas performance was worse on all non-ambient dialects than the ambient one, there were only interactions between talker and age (child vs adult or across age for the children) for a subset of talkers, which did not fall along the native/nonnative divide. Levenshtein distances significantly predicted word recognition accuracy for adults and children in both listening environments with similar impacts in quiet. In noise, children had more difficulty overcoming pronunciations that substantially deviated from ambient dialect norms than adults. Future work should continue investigating how pronunciation distance impacts word recognition accuracy by incorporating distance metrics at other levels of analysis (e.g., phonetic, suprasegmental).
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1121/10.0008930 | DOI Listing |
IEEE Trans Neural Syst Rehabil Eng
September 2024
Objective: Speech brain-computer interfaces (speech BCIs), which convert brain signals into spoken words or sentences, have demonstrated great potential for high-performance BCI communication. Phonemes are the basic pronunciation units. For monosyllabic languages such as Chinese Mandarin, where a word usually contains less than three phonemes, accurate decoding of phonemes plays a vital role.
View Article and Find Full Text PDFLang Speech
May 2024
Scandinavian Studies, Charles University, Czech Republic.
This paper presents L2 vowel remediation in a classroom setting via two real-time visual feedback methods: articulatory ultrasound tongue imaging, which shows tongue shape and position, and a newly developed acoustic formant analyzer, which visualizes a point correlating with the combined effect of tongue position and lip rounding in a vowel quadrilateral. Ten Czech students of the Swedish language participated in the study. Swedish vowel production is difficult for Czech speakers since the languages differ significantly in their vowel systems.
View Article and Find Full Text PDFJ Child Lang
April 2024
Ohio State University, Department of Speech and Hearing Science, USA.
Children exhibit preferences for familiar accents early in life. However, they frequently have more difficulty distinguishing between first language (L1) accents than second language (L2) accents in categorization tasks. Few studies have addressed children's perception of accent strength, or the relation between accent strength and objective measures of pronunciation distance.
View Article and Find Full Text PDFNeuropsychiatr Dis Treat
August 2023
M. Kandiah Faculty of Medicine and Health Sciences, Universiti Tunku Abdul Rahman, Kajang, SGR, Malaysia.
Objective: Cerebral palsy (CP) is a condition characterized by abnormal pronunciation, posture, and movement, particularly spastic CP, which involves Gross motor dysfunction due to increased muscle tone and stiffness. This monocentric clinical study aims to evaluate the effectiveness of acupuncture and tuina (AT) in improving gross motor function and alleviating associated symptoms in children diagnosed with spastic CP.
Methods: A total of 83 eligible patients received AT treatment, while 85 patients received conventional rehabilitation treatment.
J Neural Eng
November 2022
College of Artificial Intelligence, Nankai University, Tianjin, People's Republic of China.
Among the existing active brain-computer interfaces (BCI), the motor imagination (MI) is widely used. To operate the MI BCI effectively, subjects need to carry out trainings on corresponding imagining tasks. Here, we studied how to reduce the discomfort and fatigue of active BCI imaginary tasks and the inability to concentrate on them while improving the accuracy.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!