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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)
Quintana-Lara, Marcela – Computer Assisted Language Learning, 2014
This study investigates the effects of Acoustic Spectrographic Instruction on the production of the English phonological contrast /i/ and / I /. Acoustic Spectrographic Instruction is based on the assumption that physical representations of speech sounds and spectrography allow learners to objectively see and modify those non-accurate features in…
Descriptors: Acoustics, Experimental Groups, Pronunciation Instruction, Teaching Methods
Wu, Chung-Hsien; Su, Hung-Yu; Liu, Chao-Hong – Computer Assisted Language Learning, 2013
This study presents an efficient approach to personalized mispronunciation detection of Taiwanese-accented English. The main goal of this study was to detect frequently occurring mispronunciation patterns of Taiwanese-accented English instead of scoring English pronunciations directly. The proposed approach quickly identifies personalized…
Descriptors: Pronunciation, Pronunciation Instruction, English (Second Language), Second Language Instruction
Engwall, Olov – Computer Assisted Language Learning, 2012
Pronunciation errors may be caused by several different deviations from the target, such as voicing, intonation, insertions or deletions of segments, or that the articulators are placed incorrectly. Computer-animated pronunciation teachers could potentially provide important assistance on correcting all these types of deviations, but they have an…
Descriptors: Feedback (Response), Phonetics, Pronunciation, Computer Assisted Instruction

Lambacher, Stephen – Computer Assisted Language Learning, 1999
Explains the use of a computer-assisted language-learning tool that utilizes acoustic data in real time to help Japanese second-language learners improve their perception and production of English consonants. The basic features of the speech-learning software that runs on a networked workstation and is used for pronunciation training are…
Descriptors: Acoustic Phonetics, Articulation (Speech), Computer Assisted Instruction, Computer Software