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Chen, Fei; Peng, Gang – Journal of Speech, Language, and Hearing Research, 2021
Purpose: Previous studies have shown enhanced pitch and impaired time perception in individuals with autism spectrum disorders (ASD). However, it remains unclear whether such deviated patterns of auditory processing depending on acoustic dimensions would transfer to the higher level linguistic pitch and time processing. In this study, we compared…
Descriptors: Autism, Pervasive Developmental Disorders, Mandarin Chinese, Intonation
Jiang, Yan; Chun, Dorothy – Computer Assisted Language Learning, 2023
This paper examines whether a web-based training on English discourse intonation leads to better spontaneous speech quality for Mandarin Chinese speakers who reside in the U.S. and in China. The four-week fully online training consisted of meta-instruction videos as well as listening and speaking activities, including instant visual pitch contour…
Descriptors: Oral Language, Second Language Learning, Second Language Instruction, English (Second Language)
Zhang, Yuan; Baills, Florence; Prieto, Pilar – Language Teaching Research, 2020
Though research has shown that rhythmic training is beneficial for phonological speech processing, little empirical work has been carried out to assess whether rhythmic training in the classroom can help to improve pronunciation in a second language. This study tests the potential benefits of hand-clapping to the rhythm of newly learned French…
Descriptors: Language Rhythm, Teaching Methods, French, Second Language Learning
Grabe, Esther; Rosner, Burton S.; Garcia-Albea, Jose E.; Zhou, Xiaolin – Language and Speech, 2003
Native language affects the perception of segmental phonetic structure, of stress, and of semantic and pragmatic effects of intonation. Similarly, native language might influence the perception of similarities and differences among intonation contours. To test this hypothesis, a cross-language experiment was conducted. An English utterance was…
Descriptors: Auditory Stimuli, Intonation, Semantics, Multidimensional Scaling